Evolutionary Constrained Optimization / Infosys Science Foundation Series (PDF)
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This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
Kalyanmoy Deb is Koenig Endowed Chair Professor at the Department of Electrical and Computer Engineering in Michigan State University (MSU), East Lansing, USA. He also holds a professor position at the Department of Computer Science and Engineering, and at the Department of Mechanical Engineering in MSU. Prof. Deb's main research interests are in genetic and evolutionary optimization algorithms and their application in optimization, modeling, and machine learning. He is largely known for his seminal research in developing and applying Evolutionary Multi-objective Optimization. Prior to coming to MSU, he was holding an endowed chair professor position at Indian Institute of Technology Kanpur, India, where he established KanGAL (http://www.iitk.ac.in/kangal) to promote research in genetic algorithms and multi-criterion optimization since 1997. His Computational Optimization and Innovation (COIN) Laboratory (http://www.egr.msu.edu/~kdeb) at Michigan State University continues to act in the same spirit. He has consulted with various industries and software companies in the past. Prof. Deb was awarded the prestigious `Infosys Prize' in 2012, `TWAS Prize' in Engineering Sciences in 2012, `CajAstur Mamdani Prize' in 2011, `JC Bose National Fellowship' in 2011, `Distinguished Alumni Award' from IIT Kharagpur in 2011, 'Edgeworth-Pareto' award in 2008, Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2005, `Thomson Citation Laureate Award' from Thompson Reuters. Recently, he has been awarded a Honarary Doctorate from University of Jyvaskyla, Finland. His 2002 IEEE-TEC NSGA-II paper is judged as the Most Highly Cited paper and a Current Classic by Thomson Reuters having more than 4,200+ citations. He is a fellow of IEEE, ASME, Indian National Science Academy (INSA), Indian National Academy of Engineering (INAE), Indian Academy of Sciences (IASc), and International Society of Genetic and Evolutionary Computation (ISGEC). He has written two text books on optimization and more than 375 international journal and conference research papers with Google Scholar citations of 65,000+ with h-index of 85. He is in the editorial board on 20 major international journals. More information about his research can be found from http://www.egr.msu.edu/~kdeb.
- 2014, 2015, 319 Seiten, Englisch
- Herausgegeben: Rituparna Datta, Kalyanmoy Deb
- Verlag: Springer-Verlag GmbH
- ISBN-10: 8132221842
- ISBN-13: 9788132221845
- Erscheinungsdatum: 13.12.2014
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- Größe: 10 MB
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