Zinātnisko publikāciju saraksts (2004. 2010.g.) · 2012. 4. 25. · Teaching supply chain management with SimFlex. 11th International Power Electronics and Motion Control Conference,

Zinātnisko publikāciju saraksts (2004. – 2010.g.)

1. Bardačenko V., Merkurjevs J., Ruzha A., Solomennikov A. Defining Optimal Farmer Strategy under Climate

Uncertainty. - Krakow : The Agricultural University of Krakow, 2008., pp. 365.

2. Bardačenko V., Merkurjevs J., Ruža A., Solomennikovs A. Simulation-Based Choice of Optimal Farming

Strategies under Nature Risks // Riskoloģija. - Jelgava, LATVIJA: Latvijas Lauksaimniecības universitāte, 2009.

- 1.-16. lpp.

3. Bardačenko V., Merkurjevs J., Solomennikovs A., Ružha A. Defining Optimal Farmer Strategy under Climate

Uncertainty. Chapter 16. Cultural Landscape Across Disciplines. Ed. by Jozef Hernik. Oficyna Wydawnicza

BRANTA, Bydgoszcz – Krakow, 2009. P. 323-340

4. Belaja V. (2004). Artificial immune systems in pattern recognition tasks. Scientific Proceedings of Riga

Technical University, Information Technology and Management Science, Issue 5, Vol.20, RTU, Riga, P. 86-95.

5. Belijs D. (2004). Ant colony optimization algorithm in searching for classification rules. Scientific Proceedings of

Riga Technical University, Information Technology and Management Science, Issue 5, Vol.20, RTU, Riga, P. 77-

85.

6. Bikovska J., Hatem J., Merkurjeva G., Merkurjevs J. Business Simulation Game for Teaching Multi-Echelon

Supply Chain Management // The 11th International Workshop on Harbor Maritime Multimodal Logistics

Modeling & Simulation, september 17.-19., 2008., Italy, Campora S. Giovanni, pp. 20-28.

7. Bikovska J., Kļimovs R., Merkurjevs J. XXII Европейская конференция по моделированию и имитации -

ECMS 2008 // Control Sciences. - 1. (2009), pp. 80.-82.

8. Bikovska J., Kononov D., Kulba V. Synthesis of Sustainable Development Scenarios of Social Economic

Systems // Proceedings 22nd European Conference on Modelling and Simulation, June 3-6, 2008., Cyprus,

Nikosija, pp. 139-144.

9. Bikovska J., Merkurjeva G., Grubbstrom R. W. Enhancing Intelligence of Business Simulation Games. 19th

European Conference on Modelling and Simulation. Proceedings of the International Conference, May 28-31,

2006, Bonn, Sankt Augustin, Germany, pp.641-646.

10. Bolakova I. Classification of statistical data using inductive learning algorithms // Proceedings of 11th

International Conference on Soft Computing MENDEL 2005, Brno, Czech Republic, June 15-17, 2005. Brno,

P.69-72.

11. Bolakova I., Kuleshova G., Uzhga-Rebrov O. Processing sociological questioning results using procedures of

robust statistics // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 31. sēj. (2007), 26.-33.lpp.

12. Boļakova I. Processing the Results of Competence Evolution Evaluation by Decision Trees // RTU zinātniskie

raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 148.-154. lpp.

13. Borisovs A., Čižovs J. Applying Q-Learning to Non-Markovian Environments // Proceedings of the International

Conference on Agents and Artificial Intelligence, Institute for Systems and Technologies of Information, Control

and Communication, Porto, Portugal, 2009., pp. 306.-311.

14. Borisovs A., Korņijenko J. Исследование методов построения и обновления классификаторов // Automatic

control and computer sciences. - Vol.42, issue 6. (2008), pp. 29.-37.

15. Borisovs A., Vališevskis A. Information Fusion in Decision Making under Uncertainty // Proceedings of ICAFS-

2008, Eighth International Conference on Application of Fuzzy Systems and Soft Computing ICAFS-2008, 1.-3.

September , 2008., Helsinki, Finland, pp. 261-270.

16. Bruzzone A., Merkurjevs J. Advances in Supply Chain Simulation. Supply Chain Simulation in the ECLIPS

Project: Real-Life Benefit // AMS 2009, Asia Modelling Symposium 2009, Third Asia International Conference

on Modelling and Simulation, AMS 2009, Asia Modelling Symposium 2009, Third Asia International

Conference on Modelling and Simulation, May 25.-29., 2009., INDONESIJA, Bandung/Bali, pp. 5-6.

17. Burinskiene A., Merkurjeva G., Merkurjevs J. Warehouse Order Picking Process // Simulation-Based Studies in

Logistics: Education and Applied Research. - London, Great Britain: Springer, 2009., pp. 147.-165.

18. Burska Oksana, Merkuryev Yuri and Sedej John. Teaching supply chain management with SimFlex. 11th

International Power Electronics and Motion Control Conference, September 2-4, 2004, Riga, Latvia.

Proceedings, Vol. 4 of 7. Motion Control, Adjustable Speed Drives and Education of Electrical Engineering.

RTU, 2004. P. 515-517.

19. Chizhov J. Software agent development: a practical experience // RTU zinātniskie raksti. 5. sēr., Datorzinātne. -

31. sēj. (2007), 64.-71. lpp.

20. Černiševs V., Čižovs J., Kuļešova G., Borisov А. Исследование алгоритмов управления агентом,

основанным на цели, с использованием эволюционных вычислений // Нечеткие системы и мягкие

вычисления, Том 1, N1 (декабрь 2006), С. 104-119.

21. Černiševs V., Zmanovska T., Borisov A. Сравнительный анализ решения задач оптимизации генетическими

и градиентными методами // Нечеткие системы и мягкие вычисления, Том 2, N1 (март 2007), С. 83-96.

22. Čižovs J. Particulars of Neural Networks Applying in Reinforcement Learning // Proceedings of 14th

International Conference on Soft Computing „MENDEL 2008”, June 18.-20., the Czech Republic, Brno, 2008,

pp. 154-160.

23. Čižovs J. Reinforcement Learning with Function Approximation: Survey and Practice Experience // Proceedings

of International Conference on Modelling of Business, Industrial and Transport Systems, Latvija, Rīga, 7.-10.

maijs, 2008. - 204-210. lpp

24. Čižovs J., Borisovs A. Increasing the effectiveness of reinforcement learning by modifying the procedure of Q-

table values update // Proceedings of ICSCCW 2007, Fourth International Conference on Soft Computing,

Computing with Words and Perceptions in System Analysis, Decision and Control, 27.-28. augusts, 2007.,

Turkey, Antalya, pp. 19-27.

25. Čižovs J., Borisovs A. Рекуррентная сеть Элмана с обратным распространением ошибки в задаче

управления агентом // Автоматика и вычислительная техника, N3 (2006), С. 31-44.

26. Čižovs J., Borisovs A., Zmanovska T. Ambiguous states determining in non-markovian environments // RTU

zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 140.-147. lpp.

27. Čižovs J., Kuļešova G., Borisovs A. Time Series Clustering Approach for Decision Support // The 16th

International Multi-Conference on Advanced Computer Systems ACS 2009, The 16th International Multi-

Conference on Advanced Computer Systems ACS 2009, september 16-18. oktobris, 2009. Poland,

Międzyzdroje, - 1-9. lpp

28. Čižovs J., Kuļešova G., Borisovs A. Times Series Clustering Approach for Decision Support // HARD Publishing

Company. - Vol. 18, No. 4A, 2009, pp. 12.-17.

29. Čižovs J., Zmanovska T., Borisovs A. Temporal Data Mining for Identifying Customer Behaviour Patterns //

Proceedings of 9th Industrial Conference On Data Mining ICDM'2009, 9th Industrial Conference On Data

Mining ICDM'2009, July 20.-22., 2009., Germany, Leipzig, pp. 22-32.

30. Desmet B., Hatem J., Merkurjeva G., Merkurjevs J. Supply Chain Simulation in the ECLIPS Project // Second

Asia International Conference on Modelling and Simulation, AMS 2008 , Second Asia International Conference

on Modelling and Simulation, AMS 2008, May 13.-15. , Malaysia, Kuala Lumpur, pp. 684-690.

31. Dorogovs P., Romānovs A. The Optimization of Use of IT Infrastructure and the Implementation of ITIL

Processes in State Institutions // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 125.-130. lpp.

32. Filonik M., Kleins A., Merkurjevs J., Teilans A. A meta-model based approach to UML modelling and simulation

// Proceedings of the 7th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in

ENGINEERING (ICOSSSE '08), WSEAS 2008, Venice, Italy, pp. 272.-277.

33. Gasparoviča M., Aleksejeva L. A Study on the Behaviour of the Algorithm for Finding Relevant Attributes and

Membership Functions // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 40. sēj. (2009), 76.-80. lpp.

34. Ginters E., Merkurjevs J., Romānovs A., Soško O. Loģistikas informācijas sistēmas. - Rīga : Rīgas Tehniskās

universitātes Datorzinātnes un informācijas tehnoloģijas fakultātes Informācijas tehnoloģijas institūts, 2008.,100

lpp.

35. Ginters E., Merkurjevs J., Soško O. Mobile On-site Vocational Training in Logistics Information Systems. In:

Proceedings of the Workshop IST4BALT "Towards a Knowledge Society" (IST4Balt News Journal vol.2), April

7, 2006, Riga, Latvia.

36. Ginters E., Soško O., Merkurjevs J. Mobile On-site Vocational Training in Logistics Information Systems // EC

Project IST4BALT News Journal, Volume 2. - ISSN 1816-8701. (2005), pp. 35.-39.

37. Grabusts P. (2004). Using association rules to extract regularities from data. Scientific Papers University of

Latvia “Databases and Information Systems”, Vol.673, P.117-126.

38. Grabusts P. Application of fuzzy rule base design method // RTU zinātniskie raksti. 5. sēr., Datorzinātne. -

24. sēj. (2005), 125.- 131. lpp.

39. Grabusts P. Construction methods of the decision trees for genetic programming=Lēmumu koku konstruēšanas

metodes ģenētiskajai programmēšanai // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008),

76.-82. lpp.

40. Grabusts P. Problems of solving the demand forecasting tasks // RTU zinātniskie raksti. 5. sēr., Datorzinātne. -

31. sēj. (2007), 57.-63. lpp.

41. Grabusts P., Borisov A. Clustering methodology for time series mining // RTU zinātniskie raksti. 5. sēr.,

Datorzinātne. - 40. sēj. (2009), 81.-86.lpp.

42. Grīnbergs A., Kleins A., Merkurjevs J., Teilāns A. Design of UML models and their simulation using ARENA //

WSEAS TRANSACTIONS on COMPUTER RESEARCH, Issue 1, Volume 3, January 2008, Venice, Italy , pp.

67.-73. lpp.

43. Grīnbergs A., Merkurjevs J., Teilāns A. Simulation of UML models using ARENA // Proceedings of 6th

international conference on system science and simulation in engineering, ICOSSSE '07, 2007, Venice, Italy , pp.

190.-195. lpp.

44. Guasch A., Merkurjeva G., Merkurjevs J., Piera M. Simulation-Based Case Studies in Logistics: Education and

Applied Research // Simulation-Based Case Studies in Logistics: Education and Applied Research. - London,

Great Britain, Springer, 2009., pp. 232.

45. Hatem J., Merkuryev Y., Merkurjeva G. Supply Chain Simulation in the ECLIPS Project revisited// Proc. Of the

Seventh International Conference on Simulation in Industry and Services, Public University of Navarre, 4

December, 2009, Brussels, Belgium. – pp. 75-94.

46. Jakovlev S. (2004). The identification system of dynamic objects on the basis of artificial neural networks.

Scientific Proceedings of Riga Technical University, Information Technology and Management Science, Issue 5,

Vol.20, RTU, Riga, P. 157-165.

47. Jakovlev S. Construction and analysis of asynchronous neural networks // RTU zinātniskie raksti. 5. sēr.,


48. Jakovlev S. Preliminary processing in system of video observation on the basis of artificial neural networks //

RTU zinātniskie raksti. 5. sēr., Datorzinātne. – 31. sēj. (2007), 17.-25.lpp.

49. Jakovlev S., Borisov A. Использование принципа рекуррентности Джордана в перцептроне Розенблатта //

Автоматика и вычислительная техника. - 1. (2009) 46.-55. lpp.

50. Jakovļevs S. Investigation of refractoriness principle in recurrent neural networks=Refrakteritātes principa

pētīšana rekurentos neironu tīklos // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 41.-48. lpp.

51. Jumutcs V. Text mining using Hidden Markov Models and new context recognition techniques // RTU

zinātniskie raksti. 5. sēr., Datorzinātne. – 31. sēj. (2007), 120. -128.lpp.

52. Jumutcs V., Linē A., Zajakins P. Applying ANN ensembles to melanoma-related diagnostics on cancer

patients=Mākslīgo neironu tīklu ansambļu izmantošana melanomas vēža diagnostikā // RTU zinātniskie raksti.

5. sēr., Datorzinātne. - 36. sēj. (2008), 100.-107. lpp.

53. Jumutcs V., Zayakin P. Inferring optimal kernel hyperparameters using Cox regression for cancer outcome

prediction. Proceedings of the Twentieth European Meeting on Cybernetics and Systems Research, University of

Vienna, Austria, April 6 – 9, 2010, P. 607 – 612.

54. Kirillov A. Time series prediction using genetic programming and gene expression programming // RTU

zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 87.-95.lpp.

55. Kiršners A., Korņijenko J. Time-Series Data Mining for E-Service Application Analysis // RTU zinātniskie


56. Kiršners A., Sukovs A. Rule induction for forecasting transition points in product life cycle data = Pārejas punktu

prognozēšanas likumu indukcija produkta dzīves cikla datos // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36.

sēj. (2008), 170.-177. lpp.

57. Kleins A., Meirāns I., Merkurjevs J., Sukovskis U., Teilāns A. A meta-model based approach to UML modelling.

// Proceedings of EUROSIM/UKSIM 10th International Conference on Computer Modelling & Simulation,

IEEE, 2008, Cambridge, Great Britain , pp. 667.-672.

58. Kļimovs R. Simulation-Based Risk Management within Supply Systems // Proc. of International Doctoral Student

Logisitcs Workshop, 1. International Logistcs Doctoral Student Workshop in Magdeburg, June 27.-27., 2008,

Germany, Magdeburg, pp. 47-56.

59. Kļimovs R., Grave A., Merkurjevs J. Computerised business game for studying supply chain risks. Scientific

Proceedings of Riga Technical University, Information Technology and Management Science, Issue 5, 2006.,

RTU, Riga, pp. 30-40.

60. Kļimovs R., Merkurjevs J. Application of ABC analysis to complex systems simulation. Scientific Proceedings of

Riga Technical University. Ser. 5. Computer Science. Vol. 23. Information Technology and Management

Science. RTU, Riga, 2005., pp. 59-65.

61. Kļimovs R., Merkurjevs J. Simulation Model for Supply Chain Reliability Evaluation // Technological and

Economic Development of Economy. Baltic Journal on Sustainability. - ISSN 1392-8619. (2008) pp. 300.-311.

62. Kļimovs R., Merkurjevs J. Simulation of Supply Chain Reliability // Proc. of International Conference: Modelling

o Business, Industrial and Transport Systems , Modelling of Business, Industrial and Transport Systems,

LATVIJA, Riga, 7.-10. maijs, 2008. - 17-23. lpp

63. Kļimovs R., Merkurjevs J. Simulation-Based Measurement Of Supply Chain Risks // Proc. of 22nd European

Conference on Modelling and Simulation, European Conference on Modelling and Simulation, June 3.-6., 2008.

Cyprus, Nicosia, pp. 387-392.

64. Kļimovs R., Merkurjevs J. Simulation-Based Risk Measurement in Supply Chains. // Proc. of 20th European

Conference on Modelling and Simulation, 20th European Conference on Modelling and Simulation, May 28.-31.,

2006. Germany, Bonn, pp. 413-418.

65. Kļimovs R., Merkurjevs J. Supply Chain Risk Model Recoginition // Proc. of 4th International Mediterranean

Modelling Multiconference, International Mediterranean Modelling Multiconference, October 4.-6., 2007., Italy,

Bergeggi, pp. 311-317.

66. Kļimovs R., Merkurjevs J., Romānovs A., Solovjova I. A Technique for Operational IT Risk Management in

Latvian Monetary and Financial Institutions // Proc. of 8th WSEAS International Conference on Applied

Computer Science, Recent Advances on Applied Computer Science, November 21.-23., 2008., Venice, Italy, pp.

230-235.

67. Kļimovs R., Merkurjevs J., Soško O. Uncertainty and Risk Within Supply Chains // Anuual Proceedings of

Vidzeme University College: ICTE in Regional Development, 2007, Valmiera, LATVIJA, 15.-21. lpp.

68. Kļimovs R., Rezniks A., Solovjova I., Šlihte J. The Development of the Operational IT Risk Governance Concept

// RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 131.-139. lpp.

69. Kononov D., Kulba V., Merkurjeva G. Synthesis of development scenarios of complex systems // Proceedings of

the 22nd European Conference on Modelling and Simulation, The 22nd European Conference on Modelling and

Simulation, June 3.-6., 2008., Cyprus, Nicosia, pp. 403-409.

70. Kornijenko J., Dzenis J. and Borisov A. (2004). Application of inductive diagnostic rules to intracerebral

extravasation analysis. Scientific Proceedings of Riga Technical University, Information Technology and

Management Science, Issue 5, Vol.20, RTU, Riga, P. 36-42.

71. Krišāns Z., Merkurjevs J., Mutule A., Oļeiņikova I. Application of Probabilistic Method for Switchyard Types

Selection in Transmission Networks // 10th International Conference on Probabilistic Methods Applied to Power

Systems, 10th International Conference on Probabilistic Methods Applied to Power Systems, May 25.-29., 2008.

Puerto Rico (USA), Rincón, pp. 1-5.

72. Kuļešova G., Užga-Rebrovs O. A comparative analysis of alternative rules of belief combination=Pārliecību

kombinēšanas alternatīvo likumu salīdzinošā analīze // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj.

(2008), 93.-99. lpp.

73. Kuņicina N., Ļevčenkovs A. Multi – aģentu sistēmu modelēšana elektroenerģijas sadales plānošanā. Rīgas

Tehniskās universitātes Zinātnisko rakstu krājuma Datorzinātņu 5. sērijas izdevums. 20. sējums. RTU, Rīga,

2004., 213 – 220.lpp.

74. Lagzdiņa T., Merkurjeva G. Robust evolutionary algorithms for multi-echelon supply chain cyclic planning and

optimisation task=Robustie evolūcijas algoritmi daudz ešelonu piegādes ķēžu ciklisko plānu optimizācijas

uzdevumam // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 19.-26. lpp.

75. Lajevskis V., Dorogovs P., Romānovs A. IT Security System Development for State Institution // RTU


76. Lektauers A. Integrētas pieejas izstrāde diskrētu notikumu un nepārtrauktu sistēmu imitācijas modelēšanai un

vizualizācijai, Rīga, Rīgas Tehniskā universitāte, 2008. - 30 lpp.

77. Lektauers A. Multi-Agent Geosimulation of Urban Dynamics within the V-DEVS Framework // RTU zinātniskie


78. Lektauers A., Merkurjevs J. 3D visual framework for modelling and simulation of supply chain systems. IT & T

Solutions in Logistics and Maritime Applications. Scientific Proceedings of the Project eLOGMAR-M Funded by

the European Commission under the 6th Framework Programme. Edited by Eberhard Blümel, Steffen

Strassburger, Leonid Novitsky. JUMI, 2006., pp. 141-150.

79. Lektauers A., Merkurjevs J. Creating Defence Models Using V-DEVS Framework // Proceedings of Baltic

Defence Research and Technology Conference 2009, Baltic Defence Research and Technology Conference 2009,

September 10.-11., 2009., LATVIA, Riga, pp. 34-39.

80. Lektauers A., Merkurjevs J., Romānovs A. Elektroniskā komercija, Rīgas Tehniskās universitātes Datorzinātnes

un informācijas tehnoloģijas fakultātes Informācijas tehnoloģijas institūts, Rīga, 2008. - 124 lpp.

81. Lovcova I., Aleksejeva L. Study of crossover and mutation control in real coded genetic algorithm used for

constrained optimization // Proceedings of 8th International Conference on Application of Fuzzy Systems and

Soft Computing ICAFS – 2008, 1-3 September, 2008, Helsinki, Finland, pp. 149-157.

82. Lovcova I., Aleksejeva L. Study of crossover and mutation operators control in real coded genetic algorithm

applying to solve an optimization task // Proceedings of 14th International Conference on Soft Computing

MENDEL 2008, June 18- 20, 2008., Brno, Czech Republic, pp. 65-70.

83. Lovtsova I. Investigation of modified fitness function and mutation applications in real coded genetic

algorithm // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 23. sēj. (2005), 34.-40. lpp.

84. Lovtsova I. Real coded genetic algorithm in multimodal function optimization task // Proceedings of 11th


P.102-107.

85. Lovtsova I. Solving optimisation task using a modified genetic algorithm // RTU zinātniskie raksti. 5. sēr.,

Datorzinātne. - 28. sēj. (2006),. 74.-79. lpp.

86. Lovtsova I. Weight optimization for loan risk estimation with genetic algorithm // International Conference

“9th

Fuzzy Days”, Dortmund, Germany, September 18-20, 2006. Dortmund, P. 215-221.

87. Lovtsova I., Aleksejeva L. Search direction control in optimization task using genetic algorithm. International

Conference on Operational Research “Simulation and Optimisation in Business and Industry”, Tallinn, Estonia,

May 17-20, 2006. Tallinn, P. 114-118.

88. Lovtsova I., Alekseyeva L. (2004). A genetic algorithm applied to solve a forecasting task. Scientific Proceedings

of Riga Technical University, Information Technology and Management Science, Issue 5, Vol.20, RTU, Riga, P.

26-35.

89. Merkurjeva G. Simulation Metamodelling with Applications in Productions in Logistics. European Modeling

Simulation Symposium EMSS 2005. October 20-22, 2005, Marseille, France. Edited by Chiara Briano, Claudia

Frydman, Antonio Guash, Miguel Angel Piera., pp. 163-168.

90. Merkurjeva G., Bikovska J. Building Intelligence in Business Simulation Games. International Conference on

Operational Research: Simulation and Optimisation in Business and Industry. Proceedings of the International

Conference, May 17-20, 2006, Tallinn, Estonia, p.268-272.

91. Merkurjeva G., Bikovska J., Ören T. An Agent-Directed Multisimulation Framework for Management Simulation

Games // 21st European Modelling and Simulation Symposium: Simulation in Industry, 21st European Modelling

and Simulation Symposium , September 23.-25., SPAIN, Tenerife, , 2009. – pp. 14-21.

92. Merkurjeva G., Boļšakovs V. Simulation-Based Analysis of Fitness Landscape in Optimisation // RTU


93. Merkurjeva G., Boļšakovs V. Simulation-Based Vehicle Scheduling with Time Windows // Proceedings of First

International Conference on Intelligent on Intelligent Systems, Modelling and Simulation, January 27.-29., 2010.,

Great Britain, Liverpool, pp. 134-139. lpp

94. Merkurjeva G., Boļšakovs V. Vehicle Schedule Simulation with AnyLogic // Proceedings of 12th International

Conference on Computer Modelling and Simulation, 12th International Conference on Computer Modelling and

Simulation, UKSim 2010, March 24.-26., 2010., Great Britain Cambridge, pp. 1-6.

95. Merkurjeva G., Desmet B. ECLIPS and Gender Issues in Engineering // the Second International Conference on

Interdisciplinarity in Education, the Second International Conference on Interdisciplinarity in Education, ICIE'06,

May 11.-13., 2006, Greece, Athens, pp. 104-106.

96. Merkurjeva G., Machado C. B., Burinskiene A. Warehouse Simulation Environments for Analysis Order Picking

Processes. In Proceedings of Int. Mediterranean Modeling Multiconference, October 4-6, Barcelona, Spain,

2006, pp. 475 – 480.

97. Merkurjeva G., Merkurjevs J. Simulation-Based Planning and Optimisation in Supply Chains: Application in

Eclips Project // 6th Vienna Conference on Mathematical Modelling. February 11-13, 2009. Vienna University of

Technology, Austria. ARGESIM Report No. 34., 6th Vienna Conference on Mathematical Modelling, MathMod

2009, February 11.-13., 2009, Austria, Vienna, pp. 155.

98. Merkurjeva G., Merkurjevs J. Simulation-Based Planning and Optimisation in Supply Chains: Application in

Eclips Project // 6th Vienna Conference on Mathematical Modelling. February 11-13, 2009. Vienna University of

Technology, Austria. ARGESIM Report No. 35., 6th Vienna Conference on Mathematical Modelling, MathMod

2009, February 11.-13., 2009., Austria, Vienna, pp. 1113-1120.

99. Merkurjeva G., Merkurjevs J., Bikovska J., Pečerska J., Petuhova J. Active Learning Logistics Management

through Business Gaming // 4th International Conference on Interdisciplinarity in Education, 4th International

Conference on Interdisciplinarity in Education, May 21.-22., 2009. Lithuania, Vilnuis, pp. 30-36.

100. Merkurjeva G., Merkurjevs J., Pečerska J., Tolujevs J. Sistēmu imitācijas modelēšanas tehnoloģija. - Rīga : Rīgas

Tehniskās universitātes Datorzinātnes un informācijas tehnoloģijas fakultātes Informācijas tehnoloģijas institūts,

2008. - 120 lpp.

101. Merkurjeva G., Napalkova L. Development of Multi-Objective Simulation-Based Genetic Algorithm for Supply

Chain Cyclic Planning and Optimisation // Proceedings of the 20th International Conference EURO Mini

Conference, The 20th International Conference EURO Mini Conference, May 20.-23., 2008., Lithuania, Neringa,

pp. 444-449.

102. Merkurjeva G., Napalkova L. Development of simulation-based environment for multi-echelon cyclic planning

and optimization. In: 6th EUROSIM Congress on Modelling and Simulation. 9-13 September 2007, Ljubljana,

Slovenia, 2007, paper ID 452, pp. 9 .

103. Merkurjeva G., Napalkova L. Multi-Objective Genetic Local Search Algorithm for Supply Chain Simulation

Optimisation // Proceedings of the International Conference on Harbor, Maritime & Multimodal Logistics

Modelling and Simulation, The International Conference on Harbor, Maritime & Multimodal Logistics Modelling

and Simulation, SPĀNIJA, Puerto de la Cruz, September 23.-25., 2009. (Tenerife - Canary Islands), pp. 190-194.

104. Merkurjeva G., Napalkova L. Supply Chain Cyclic Planning and Optimisation // Simulation-Based Studies in

Logistics: Education and Applied Research. - London, Great Britain: Springer-Verlag, 2009., pp. 89.-111.

105. Merkurjeva G., Napalkova L. Theoretical Framework of Multi-Objective Simulation-Based Genetic Algorithm

for Supply Chain Cyclic Planning and Optimisation // Proceedings of the 10th International Conference on

Computer Modelling and Simulation EUROSIM/UKsim-2008, The 10th International Conference on Computer

Modelling and Simulation EUROSIM/UKsim-2008, April 1.-3., 2008. Great Britain, Cambridge, pp. 467-474.

106. Merkurjeva G., Napalkova L. Two-Phase Simulation Optimisation Procedure with Applications to Multi-Echelon

Cyclic Planning // Proceedings of the 20th European Modelling and Simulation Symposium EMSS-2008,

International Mediterranean and Latin American Modeling Multiconference, September 17.-19., 2008., Italy,

Campora San Giovanni, Amantea (CS), pp. 51-58.

107. Merkurjeva G., Napalkova L. Two-Phase Simulation Optimization Algorithm with Applications to Multi-Echelon

Cyclic Planning // International Journal of Simulation and Process Modelling (IJSPM). (2009), Vol.6. - No.1. pp.

7.-18.

108. Merkurjeva G., Napalkova L., Večerinska O. Simulation-Based Analysis and Optimisation of Planning Policies

over the Product Life Cycle within the Entire Supply Chain // Preprints of the 13th IFAC Symposium on

Information Control Problems in Manufacturing, The 13th IFAC Symposium on Information Control Problems in

Manufacturing, June 3.-5., 2009., Russia, Moscow, pp. 580-585.

109. Merkurjeva G., Shires N. Manufacturing System Planning and Scheduling // Simulation-Based Studies in

Logistics: Education and Applied Research. - Londona, Great Britain: Spinger-Verlag, 2009., pp. 21.-34.

110. Merkurjeva G., Timmermans S., Večerinska O. 'Evaluating the „optimality gap‟ between cyclic and non-cyclic

planning policies in supply chains‟. In: 6th International Conference on Production Engineering. Wroclaw, 2006,

pp. 155 – 162.

111. Merkurjeva G., Večerinska O. Development of Simulation- Based Switching Algorithm for Inventory

Management in Multi-Echelon Supply Chain // Recent Advances in System Science and Simulation in

Engineering, 7th WSEAS International Conference on System Science and Simulation in Engineering, November

21.-23., 2008., Italy, Venice, pp. 399-404.

112. Merkurjeva G., Večerinska O. Randomness Modeling in Supply Chain Simulation // Proceedings of the First

International Conference on Intelligent Systems, Modelling and Simulation, January 27.-29., 2010., Great Britain,

Liverpool, pp. 128-133.

113. Merkurjeva G., Večerinska O. Simulation-based Analysis of Optimality Gap Between Replenishment Policies In

Supply Chains. In: RTU 48th International Scientific Conference. Series 5, Computer Science. Vol. Information

Technology and Management Science. Riga, 2007, pp. 41– 49.

114. Merkurjeva G., Večerinska O. Simulation-Based Approach for Comparison of (s, Q) and (R, S) Replenishment

Policies Utilization Efficiency in Multi-echelon Supply Chains // Proceedings of the 10th International

Conference on Computer Modelling and Simulation EUROSIM/UKsim-2008, Konferences nosaukums: 10th

International Conference on Computer Modelling and Simulation EUROSIM/UKsim-2008, April 1.-3. aprīlis,

2008., Great Britain, Cambridge, pp.434-440.

115. Merkurjeva G., Večerinska O. Simulation-Based Comparison: An Overview and Case Study // Proceedings of

UKSim 12th International Conference on Computer Modelling and Simulation, UKSim 12th International

Conference on Computer Modelling and Simulation, UKSim2010, March 24.-26., 2010., Great Britain,

Cambridge, pp. 1-5.

116. Merkurjeva G., Večerinska O., Hatem J. Statistical Input Data Analysis for Supply Chain Simulation // RTU


117. Merkuryeva Galina, Shires Nigel. Sim-Serv case study: Simulation-based production scheduling and capacity

optimisation. Proceedings of the 18th

European Simulation Multiconference “Networked Simulation sand

Simulated Networks”. June 13-16, 2004, Magdeburg, Germany. Ed. By Graham Horton. SCS, 2004. P. 327-333.

118. Merkuryeva Galina. Response Surface-Based Simulation Metamodelling Methods: with applications to

optimisation problems. Supply Chain Optimisation: Product/process design, facility location and flow control.

Ed. by Alexandre Dolgui, Jerzy Soldek and Oleg Zaikin. Kluwer Academic Publishers, 2004. P. 205-215.

119. Merkurjevs J, Merkurjeva G., Desmet B., Jacquet-Lagreze E. Integrating Analytical and Simulation Techniques

in Multi-Echelon Cyclic Planning. Proceedings. First Asia International Conference on Modelling and

Simulation. AMS 2007. Asia Modelling Symposium 2007. 27-30 March 2007. Prince of Songkla University,

Phuket, Thailand. Editors David Al-Dabass, Ričard Zobel, Ajith Abraham, Steve Turner. IEEE, 2007., pp. 460-

464.

120. Merkurjevs J. Опыт международного сотрудничества в области имитационного моделирования //

Четвертая всероссийская научно-практическая конференция по имитационному моделированию и его

применению в науке и промышленности «Имитационное моделирование. Теория и практика», ИММОД-

2009, Сборник докладов. Том 1, Четвертая всероссийская научно-практическая конференция по

имитационному моделированию и его применению в науке и промышленности «Имитационное

моделирование. Теория и практика», ИММОД-2009, 21.-23. oktobris, 2009. KRIEVIJA, Sanktpēterburga, 57-

61. lpp

121. Merkurjevs J., Bardačenko V., Ruža A., Solomennikova I. Imitācijas modelēšanas pielietošana lauksaimniecības

risku pētīšanai. Latvijas Lauksaimniecības universitātes raksti. Jelgavas tipogrāfija, Jelgava, 2005, 81.-86.lpp.

122. Merkurjevs J., Bardačenko V., Ruža A., Solomennikovs A. Simulation-based Choice of Optimal Farming

Strategies under Risks of Nature // Raksti = Proceedings of the Latvia University of Agriculture . - Jelgava,

LATVIJA: Latvijas Lauksaimniecības universitāte, 2009., 53.-64. lpp.

123. Merkurjevs J., Bardačenko V., Solomennikovs A. Simulation Model for Evaluation of Farmer‟s Strategies under

Nature Risks. European Modeling Simulation Symposium EMSS 2005. October 20-22, 2005, Marseille, France.

Edited by Chiara Briano, Claudia Frydman, Antonio Guash, Miguel Angel Piera., pp. 59-64.

124. Merkurjevs J., Bardačenko V., Solomennikovs A. Simulation-based evaluation of agriculture strategies under

uncertainty of weather forecast. International Mediterranean Modelling Multiconference, I3M 2006. October, 4-6,

2006. Barcelona, Spain. Edited by Agostino G. Bruzzone, Antoni Guasch, Miquel Angel Piera, Jerzy Rozenblit.

LogiSim, Barcelona, 2006. pp. 313-318.

125. Merkurjevs J., Krišāns Z., Oļeinikova I., Mutule A. Estimation method of power system sufficient for 5-10 years

Horizon. 2007 IEEE Lausanne PowerTech. Power Tech 2007. July 1–5, 2007. CD Proceedings, pp.5.

126. Merkurjevs J., Merkurjeva G., Bikovska J., Hatem J., Desmet B. Business Simulation Game for Teaching Multi-

Echelon Supply Chain Management // Int. J. Simulation and Process Modelling. - Volume 5, No 4, 2009, p. 289.-

299.

127. Merkurjevs J., Merkurjeva G., De Haes R., Desmet B., De Wispelaere A., Hatem J. Supply Chain Simulation in

the ECLIPS Project: Real-Life Benefit // Proceedings of the 2009 Third Asia International Conference on

Modelling & Simulation, AMS 2009, Asia Modelling Symposium 2009, Third Asia International Conference on

Modelling and Simulation, May 25.-29., 2009., INDONESIJA, Bandung/Bali, pp. 526-532.

128. Merkurjevs J., Merkurjeva G., Hatem J. Supply Chain Simulation in the ECLIPS Project Revisited // Proceedings

of the Seventh International Conference on Simulation in Industry and Services., December 4.-5., 2008,

Belgium, Brussels, pp. 75-94.

129. Merkurjevs J., Merkurjeva G., Napalkova L. Simulation-based environment for multi-echelon cyclic planning and

optimisation // Proceedings of the 19th European Modelling and Simulation Symposium, October 4.-6., 2007.,

Italy, Bergeggi, pp 318.-325.

130. Merkurjevs J., Pečerska J., Tolujevs J. Simulation-Based Analysis of Logistic Systems // Humanities and Social

Sciences. Latvia. - Volume 4(57), 2. (2008) 27.-48. lpp.

131. Merkurjevs J., Petuhova J., Grabis J. Managing service-sensitive demand through simulation // Supply Chain

Optimisation: Product/Process Design, Facility Location and Flow Control. Series: Applied Optimization. -

Florida, USA: Springer, 2005., pp. 41.-53.

132. Merkurjevs J., Romānovs A. Application of Multi-Criteria Analysis Methods to the Tourist Information System

Development // Proc. of IEEE Region 8 Eurocon 2007, The International Conference on Computer as a tool,

September 9.-12., 2007., Poland, Warsaw, pp. 2234-2237.

133. Merkurjevs J., Runčs J., Krišāns Z., Oļeinikova I., Mutule A., Kalpiņa A. Pilsētu vidsprieguma sadales tīkla

drošuma novērtēšanas metode un algoritms. Latvian Journal of Physics and Technical Sciences, 2007, N 3., 40-

52. lpp.

134. Merkurjevs J., Zeņina N. An overview of Artificial neural networks application in transportation // Proceedings of

14th International Conference on soft computing, MENDEL2008, June 18.-20., 2008., the Czech Republic,

BRNO, pp. 6-11.

135. Merkurjevs Jurijs, Bardačenko Vladimirs, Arhipova Irina, Rudusa Ilva. Agrofunkciju pielietošana

lauksaimniecības risku pārvaldei. Latvijas Lauksaimniecības universitātes raksti. Nr. 11 (306), 2004. Lpp. 64-69.

136. Merkuryev Yuri, Bardachenko Vladimir, Solomennikov Andrey and Kamperman Fred. Simulation-based

resource pooling at the Baltic Container Terminal. Proceedings of International Workshops on Harbour,

Maritime and Multimodal Logistics Modelling and Simulation, and Applied Modelling and Simulation. HMS2004

& AMS2004. September 16-18, 2004, Rio de Janeiro, Brazil. Ed. by Agostino G. Bruzzone, Gerson Gomes

Cunha, Luiz Landau and Yuri Merkuryev. Universidade Federal do Rio de Janeiro, 2004. P. 16-24.

137. Merkuryev Yuri, Merkuryeva Galina, Hatem Jonas and Bikovska Jana. Exploiting simulation in supply chain

management: ECLIPS project experience. The International Workshop on Applied Modelling and Simulation,

WAMS 2010. Rio de Janeiro and Buzios, Brazil, May 5-7, 2010. Proceedings on CD. Ed. by Agostino G.

Bruzzone, Luiz Landau, Gerson Gomes Cunha and Stefano Saetta. COPPE/UFRJ, 2010. p. 455-464.

138. Merkuryev Yuri, Petuhova Julija and Buikis Maris. Simulation-based statistical analysis of the Bullwhip effect in

supply chains. Proceedings of the 18th European Simulation Multiconference “Networked Simulation sand

Simulated Networks”. June 13-16, 2004, Magdeburg, Germany. Ed. By Graham Horton. SCS, 2004. P. 301-307.

139. Mihailovs F., Pečerska J. Ogļu termināla procesu imitācijas modelēšana // Proceedings of 11th International

Conference "Maritime Transport and Infrastructure", 23.-24. aprīlis, 2009., LATVIJA, Rīga, 55-60. lpp

140. Mikhayloff T., Borisov A. Application of clustering and rule-based classification techniques to tracking of the

state of a changing environment // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 23. sēj. (2005), 118.-124.lpp.

141. Misina S. (2006). Example subset size adaptation heuristic in incremental learning // RTU zinātniskie raksti.

5. sēr., Datorzinātne. - 28. sēj. (2006), 107.-113.lpp.

142. Misina S. Incremental learning for e-mail classification // International Conference “9th

Fuzzy Days”, Dortmund,

Germany, September 18-20, 2006, P. 545-554.

143. Misina S. Inductive inference algorithm in multi-layer incremental learning // RTU zinātniskie raksti. 5. sēr.,


144. Misina S., Aleksejeva L. Inductive inference algorithms in e-mail messages filtering // Proceedings of 11th


pp.63-68.

145. Misina S., Alekseyeva L. (2004). Inductive inference algorithms in e-mail messages filtering. Scientific

Proceedings of Riga Technical University, Information Technology and Management Science, Issue 5, Vol.20,

RTU, Riga, P. 10-18.

146. Misiņa-Egle S., Aleksejeva L. Klasifikācijas metožu ar inkrementālu apmācību salīdzinošā analīze e-pasta

ziņojumu filtrēšanas uzdevumā // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36. sēj. (2008), 116.-124. lpp.

147. Napalkova L. Hybridisation of evolutionary algorithms for solving multi-objective simulation optimisation

problems // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 40. sēj. (2009), 9.-15. lpp.

148. Napalkova L., Merkurjeva G., Pierra Miquel A. Development of Genetic Algorithm for Solving Scheduling Tasks

in FMS with Coloured Petri Nets. In Proceedings of Int. Mediterranean Modeling Multiconference, October 4-6,

Barcelona, Spain, 2006, pp. 135 – 140.

149. Neumann G., Večerinska O. RFID technology and its applications in logistics. Scientific Proceedings of Riga

Technical University, Information Technology and Management Science, Issue 5, RTU, Riga, pp. 7-14.

150. Osipovs P., Borisov A. Practice of Web Data Mining methods application // RTU zinātniskie raksti. 5. sēr.,

Datorzinātne. - 40. sēj. (2009), 101-107.lpp.

151. Osipovs P., Borisov A. Usage of ontologies in systems of data exchange // RTU zinātniskie raksti. 5. sēr.,

Datorzinātne. - 40. sēj. (2009), 108-116.lpp.

152. Parshutin S. Clustering time series of different length using Self-Organising maps // RTU zinātniskie raksti.


153. Parshutin S., Kuleshova G., Borisov A. Application of first-order rules to reconstructing link damages in logistics

net // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 23. sēj. (2005), 96.-102.lpp.

154. Paršutins S. Кластеризация Временных Рядов с Применением Карт Самоорганизации // Интегрированные

модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов, Интегрированные

модели и мягкие вычисления в искусственном интеллекте (IMSCAI-2007), KRIEVIJA, Kolomna, 28.-30.

maijs, 2007. - 465-472. lpp

155. Paršutins S., Aleksejeva L., Borisovs A. Forecasting Product Life Cycle Phase Transition Points with Modular

Neural Networks Based System // Lecture Notes in Artificial Intelligence 5633, Advances in Data Mining, 9th

Industrial Conference on Data Mining, ICDM`2009, July 20.-22., 2009., Germany, Leipzig, pp 88-102.

156. Paršutins S., Aleksejeva L., Borisovs A. Time Series Analysis with Modular Neural Nerworks // RTU zinātniskie


157. Paršutins S., Borisovs A. Agents Based Data Mining and Decision Support System // Lecture Notes in Artificial

Intelligence, N5680, Agents and Data Mining Interaction, AAMAS 2009 Workshop on Agents and Data Mining

Interaction ADMI`2009, May 10-15., 2009., Hungary, Budapest, pp. 36-49.

158. Paršutins S., Borisovs A. Classification Decision Tree Based Forecasting // Proceedings of Seventh International

Conference on Application of Fuzzy Systems and Soft Computing, 7th International Conference on Application

of Fuzzy Systems and Soft Computing. ICAFS-2006, September 13.-14., 2006., Germany, Siegen, pp. 124-130.

159. Paršutins S., Borisovs A. Data Mining Driven Decision Support // Polish Journal of Environmental Studies. -

Vol.18, No.4A. (2009) pp. 8.-11.

160. Paršutins S., Kuļešova G. Time Warping Techniques in Clustering Time Series // Proceedings of 14th

International Conference on Soft Computing, MENDEL 2008, 14th International Conference on Soft Computing,

MENDEL 2008, June 18.-20., 2008., the Czech Republic, Brno, pp 175-180.

161. Paršutins S., Sukovs A., Kuļešova G., Borisovs A., Aleksejeva L. Datu Ieguve: Programmlīdzekļi. – Rīga: SIA

Latgales Druka, RTU, 2008. - 111 lpp.

162. Pčolkins A. Нейроподобная архитектура для иерархического управления автономным адаптивным

агентом // Нейроинформатика-2005, сборник научных трудов VII Всероссийской научно-технической

конференции, часть 1, Москва, МИФИ, 2005, Стр. 225-233.

163. Pčolkins A., Borisovs A. Исследование чувствительности нейронной сети, реализующей метод главных

компонент // Автоматика и вычислительная техника. - N 4. (2009) 37.-47. lpp.

164. Pečerska J. Ģenētiskais algoritms eksperimentu ar imitācijas modeli plānošanai. Rīgas Tehniskās uiversitātes

Zinātnisko rakstu krājuma Datorzinātņu 5. sērijas izdevums. 23. sējums. RTU, Rīga, 2005., 16 – 23.lpp.

165. Pečerska J. Material Flow Simulation Using Discrete-Event and Mesoscopic Approach // Proceedings of UKSim

12th International Conference on Computer Modelling and Simulation, March 24.-26., 2010. Great Britain,

Cambridge, - 159-162. lpp

166. Pečerska J., Merkurjeva G. Uz modelēšanas balstītu gadījuma studiju – spēļu pielietošanas pieredze loģistikas

sistēmu vadības apmācībā. Rīgas Tehniskās uiversitātes Zinātnisko rakstu krājuma Datorzinātņu 5. sērijas

izdevums. 20. sējums. RTU, Rīga, 2004., 122 – 129.lpp.

167. Pečerska J., Merkurjevs J. Discrete-Event Simulation: Methodology and Spreadsheet-Based Implementation.

Przeglad Elektrotechniczny, Vol. 82, No 4, 2006, Poland, pp. 49-55.

168. Pečerska J., Merkurjevs J. Discrete-Event Simulation:Methodology and Spreadsheet-Based Implementation.

Przeglad Elektrotechniczny, Vol. 82, No 4, 2006, Poland, pp. 49-55.

169. Petuhova J. Imitācijas modelēšanā bāzēta piegādes ķēžu dinamikas analīze // Promocijas darbs. - Rīga,

LATVIJA: RTU, 2008. - 1.-201. lpp.

170. Petuhova J., Merkurjevs J. Combining analytical and simulation approaches to quantification of the bullwhip

effect // International Journal of Simulation: Systems, Science & Technology (IJS3T). - Vol. 8, No. 1.. (2007), pp.

16.-24.

171. Petuhova J., Merkurjevs J. Combining analytical and simulation approaches to quantification of the bullwhip

effect // Proceedings of the 19th European Conference on Modelling and Simulation (ECMS‟2005), “Simulation

in wider Europe”, June 1. -4., 2005. LATVIA, Riga, pp. 222-226.

172. Petuhova J., Merkurjevs J. Simulation-based analysis of dependency between sales volume and service level.

International Mediterranean Modelling Multiconference, I3M 2006. October, 4-6, 2006. Barcelona, Spain. Edited

by Agostino G. Bruzzone, Antoni Guasch, Miquel Angel Piera, Jerzy Rozenblit. LogiSim, Barcelona, 2006., pp.

697-702.

173. Petuhova J., Merkurjevs J. Simulation-based analysis of sales volume and service level dependency //

Proceedings of the International Mediterranean Modelling Multiconference, (I3M 2006), October 4.-6.,, 2006.,

Spain, Barcelona, pp. 697-702.

174. Petuhova J., Merkurjevs J., Buiķis M. Simulation versus analytical modelling for supply chain dynamics analysis

// Proceedings, The 6 th International Conference on Harbour, Maritime & Multimodal Logistics Modelling and

Simulation, September 23.-25., 2009, Spain, Puerto de la Cruz, pp. 195-200.

175. Plinere D. Blackboard architecture programming for product life cycle stage definition // RTU zinātniskie raksti.


176. Plinere D., Borisovs A. Ontology-Based Knowledge Acquisition System for Product Life Cycle Task //

Proceedings of 15th International Conference on Soft Computing, Mendel 2009, June 24.-26., 2009., the Czech

Republic, Brno, pp. 292-297.

177. Plinere D., Borisovs A. SWRL: Rule Acquisition Using Ontology // RTU zinātniskie raksti. 5. sēr., Datorzinātne.

- 40. sēj. (2009), 117.-122. lpp.

178. Poļaka I., Sukovs A. Using the XLMiner tool for data mining in customer relationship management = Rīka

XLMiner izmantošana datu ieguvei klientu attiecību vadībā // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 36.

sēj. (2008), 155.-161. lpp.

179. Provorova I., Paršutins S., Provorovs S. Using Genetic Algorithm to Optimize Weights in Data Mining Task //

RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 40. sēj. (2009), 123.-128. lpp.

180. Ressin А., Borisov А. Исследование фактора коллективности в мультиагентных системах // Автоматика и

вычислительная техника, N1 (2005). - С. 59-73.

181. Romānovs A. Daudzkritēriju analīzes metožu pielietošana tūrisma informācijas sistēmas izstrādāšanā. - Rīga :

Transporta un sakaru institūts, 2006. - 40 lpp.

182. Romānovs A. Daudzkritēriju analīzes metožu pielietošana tūrisma informācijas sistēmā. Rīgas Tehniskās

uiversitātes Zinātnisko rakstu krājuma Datorzinātņu 5. sērijas izdevums. 20. sējums. RTU, Rīga, 2004., 130 –

140.lpp.

183. Romānovs A., Lektauers A., Merkurjevs J., Kļimovs R. Daudzvalodu e-vietnes koncepcija operacionālo IT risku

pētīšanai // Vide. Tehnoloģija. Resursi, 7. starptautiskā zinātniski praktiskā konference, LATVIJA, Rēzekne, 25.-

27. jūnijs, 2009. - 177-184. lpp

184. Romānovs A., Soško O., Lektauers A., Merkurjevs J. Application of Information Technologies to Active

Teaching in Logistic Information Systems // Advances in Databases and Information Systems. Associated

Workshops and Doctoral Consortium of the13th East-European Conference, ADBIS 2009. September 7-10,

2009., Riga, Latvia, Proceedings. - LNCS 5968. (2010) 23.-30. lpp.

185. Romānovs A., Soško O., Merkurjevs J. Information Technology Focused Training in Logistics // 2010 IEEE 9th

International Conference on Information Technology Based Higher Education and Training (ITHET), Turcija,

Cappadocia, 29.aprīlis-1. maijs, 2010. - 27.-34. lpp.

186. Romānovs A., Soško O., Merkurjevs J. Information Technology in Logistics: Teaching Experiences,

Infrastructure and Technologies // EDUCON 2010 - Annual Global Engineering Education Conference. The

Future of Global Learning in Engineering Education., Spānija, Madrid, 14.-16. aprīlis, 2010. - 1721.-1728. lpp.

187. Rudenko D., Borisovs A. Agents in Supply Chain Management: An Overview // RTU zinātniskie raksti. 5. sēr.,

Datorzinātne. - 28. sēj. (2006), 123.-133. lpp.

188. Rudenko D., Borisovs A. AN OVERVIEW OF BLACKBOARD ARCHITECTURE APPLICATION FOR

REAL // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 31. sēj. (2007), 50.-56. lpp.

189. Rudenko D., Borisovs A. Blackboard Architecture for Product Life Cycle Stage Definition // Proceedings of 14th

International Conference on Soft Computing, June 18.-20., 2008., the Czech Republic, Brno, pp. 252-257.

190. Shirina K. (2004). Inductive inference systems analysis. Scientific Proceedings of Riga Technical University,

Information Technology and Management Science, Issue 5, Vol.20, RTU, Riga, P. 96-105.

191. Solomennikov Andrey, Bardachenko Vladimir, Merkuryev Yuri, Kamperman Fred. Analysis of resource cycles

in marine container terminals. The International conference "Reliability and Statistics in Transportation and

Communication" (RelStat'03). 16-17 October 2003. Riga, Latvia. Proceedings. Volume 1. Riga, 2004. P. 19-27.

192. Solovjova I., Saksonova S., Romānovs A. Commercial banking system stability assessment problems //

Proceedings of the 5th International Conference “An Enterprise Odyssey: From Crisis to Prosperity - Challenges

for Government and Business”, Croatia, Opatija, 26.-29. May, 2010. - pp 861-872.

193. Soško O., Goetgeluk J., Van Landeghem H., Merkurjevs J. Optimisation of Beer Game inventory model under

uncertain demand // RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 28. sēj. (2006), 57.-66. lpp.

194. Soško O., Merkurjevs J, Čakste M. Application in Retail: Locating a Distribution Center. Supply Chain

Configuration: Concepts, Solutions, and Applications. Charu Chandra, Jānis Grabis. Springer, 2007., pp. 303-

333.

195. Soško O., Merkurjevs J., Čakste M. Simulation-based case study: locating a distribution centre. Scientific

Proceedings of Riga Technical University (Series 5. Computer Science): 2005, pp.103-109

196. Soško O., Merkurjevs J., Merkurjeva G., Bikovska J. Development of Active Training and Educational Methods

in Logistics // Annual proceedings of Vidzeme University College. - Valmiera, LATVIJA: Vidzeme University

College, 2005. - 103.-108. lpp.

197. Soško O., Merkurjevs J., Van Landeghem H. ACHIEVING THE BEST PERFORMANCE OF SUPPLY CHAIN

OPERATION // Simulation and Optimization in Business and Industry , 5th International Conference on

Operational Research: Simulation and Optimization in Business and Industry , May 17.-20., 2006., Estonia,

Tallin, pp. 227-232.

198. Soško O., Merkurjevs J., Van Landeghem H. APPLICATION OF STOCHASTIC PROGRAMMING FOR

SUPPLY CHAIN INVENTORY OPTIMIZATION UNDER UNCERTAIN DEMAND AND LEAD TIME //

Proceedings of the 6th EUROSIM Congress on Modelling and Simulation, Volume 1, 6th EUROSIM Congress

on Modelling and Simulation. EUROSIM 2007, September 9.-13., 2007., Slovenia, Ljubljana, pp. 305-305.

199. Soško O., Merkurjevs J., Van Landeghem H. DEALING WITH UNCERTAINTY IN SUPPLY CHAIN

MANAGEMENT // 12th IFAC Symposium on Information Control Problems in Manufacturing INCOM‟2006,

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Documents

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