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SWARM AND EVOLUTIONARY COMPUTATION About the journal: Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It will publish advanced, innovative, and interdisciplinary research involving the theoretical, experimental, and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation will be committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications. Editors-in-chief Swagatam Das Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata-700 108, India. Ponnuthurai Nagaratnam Suganthan Nanyang Technological University, Singapore Editorial Board: H. G. Beyer, Fachhochschule Vorarlberg, Dornbirn, Austria C. A. Coello Coello, Cinvestav, Mexico, Mexico D. Dasgupta, University of Memphis, Memphis, TN, USA K. Deb, Indian Institute of Technology, Kanpur, India D. B. Fogel, Natural Selection Inc., San Diego, CA, USA G. Greenwood, Portland State University, Portland, OR, USA F. Herrera, Universidad de Granada, Granada, Spain H. Ishibuchi, Osaka Prefecture University, Osaka, Japan S.M. Lucas, University of Essex, Colchester, England, UK Z. Michalewicz, University of Adelaide, Adelaide, SA, Australia M. Pelikan, University of Missouri at St. Louis, St. Louis, MO, USA Y. Shi, Xi’an Jiaotong University, Suzhou, China A.V. Vasilakos, University of Western Macedonia, Kozani, Greece L. Wang, Tsinghua University, Beijing, China G.G. Yen, Oklahoma State University, Stillwater, OK, USA For a full and complete Guide for Authors, please go to: http://www.elsevier.com/locate/swevo Available online at www.sciencedirect.com

Inside Front Cover: Editorial board

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SWARM AND EVOLUTIONARY COMPUTATION

About the journal:

Swarm and Evolutionary Computation is the fi rst peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It will publish advanced, innovative, and interdisciplinary research involving the theoretical, experimental, and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation will be committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.

Editors-in-chief

Swagatam DasElectronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata-700 108, India.

Ponnuthurai Nagaratnam SuganthanNanyang Technological University, Singapore

Editorial Board:

H. G. Beyer, Fachhochschule Vorarlberg, Dornbirn, AustriaC. A. Coello Coello, Cinvestav, Mexico, MexicoD. Dasgupta, University of Memphis, Memphis, TN, USAK. Deb, Indian Institute of Technology, Kanpur, IndiaD. B. Fogel, Natural Selection Inc., San Diego, CA, USAG. Greenwood, Portland State University, Portland, OR, USAF. Herrera, Universidad de Granada, Granada, SpainH. Ishibuchi, Osaka Prefecture University, Osaka, JapanS.M. Lucas, University of Essex, Colchester, England, UKZ. Michalewicz, University of Adelaide, Adelaide, SA, AustraliaM. Pelikan, University of Missouri at St. Louis, St. Louis, MO, USAY. Shi, Xi’an Jiaotong University, Suzhou, ChinaA.V. Vasilakos, University of Western Macedonia, Kozani, GreeceL. Wang, Tsinghua University, Beijing, ChinaG.G. Yen, Oklahoma State University, Stillwater, OK, USA

For a full and complete Guide for Authors, please go to: http://www.elsevier.com/locate/swevo

Available online at www.sciencedirect.com