Multi-Objective Optimization In Computational Intelligence

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Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

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Product Details

  • ISBN-13: 9781599044989
  • Publisher: IGI Global
  • Publication date: 5/31/2008
  • Series: Premier Reference Source Series
  • Pages: 496
  • Product dimensions: 8.70 (w) x 11.20 (h) x 1.40 (d)

Table of Contents

Ch. 1 An Introduction to Multi-objective Optimization Lam Thu Bui Bui, Lam Thu Sameer Alam Alam, Sameer

Ch. 2 Multi-objective Particle Swarm Optimization Approaches Konsatantinos E. Parsopoulos Parsopoulos, Konsatantinos E. Michael N. Vrahatis Vrahatis, Michael N.

Ch. 3 Generalized Differential Evolution for Constrained Multi-objective Optimization Saku Kukkonen Kukkonen, Saku Jouni Lampinen Lampinen, Jouni

Ch. 4 Towards a More Efficient Multi-Objective Particle Swarm Optimizer Luis V. Santana-Quintero Santana-Quintero, Luis V. Noel Ramirez-Santiago Ramirez-Santiago, Noel Carlos A. Coello Coello Coello, Carlos A. Coello

Ch. 5 Multi-Objective Optimization Using Artificial Immune Systems Licheng Jiao Jiao, Licheng Maoguo Gong Gong, Maoguo Wenping Ma Ma, Wenping Ronghua Shang Shang, Ronghua

Ch. 6 Lexicographic Goal Programming and Assessment Tools for a Combinatorial Production Problem Seamus M. McGovern McGovern, Seamus M. Surendra M. Gupta Gupta, Surendra M.

Ch. 7 Evolutionary Population Dynamics and Multi-Objective Optimisation Problems Andrew Lewis Lewis, Andrew Sanaz Mostaghim Mostaghim, Sanaz Marcus Randall Randall, Marcus

Ch. 8 Multi-Objective Evolutionary Algorithms for Sensor Network Design Ramesh Rajagopalan Rajagopalan, Ramesh Chilukuri K. Mohan Mohan, Chilukuri K. Kishan G. Mehrotra Mehrotra, Kishan G. Pramod K. Varshney Varshney, Pramod K.

Ch. 9 Evolutionary Multi-Objective Optimization for DNA Sequence Design Soo-Yong Shin Shin, Soo-Yong In-Hee Lee Lee, In-Hee Byoung-Tak Zhang Zhang, Byoung-Tak

Ch. 10 Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedded Systems Giuseppe Ascia Ascia, Giuseppe Vincenzo Catania Catania,Vincenzo Alessandro G. Di Nuovo Di Nuovo, Alessandro G. Maurizio Palesi Palesi, Maurizio Davide Patti Patti, Davide

Ch. 11 Walking with EMO: Multi-Objective Robotics for Evolving Two, Four and Six-Legged Locomotion Jason Teo Teo, Jason Lynnie D. Neri Neri, Lynnie D. Minh H. Nguyen Nguyen, Minh H. Hussein A. Abbass Abbass, Hussein A.

Ch. 12 Evolutionary multi-objective optimization in energy conversion systems: from component detail to system configuration Andrea Toffolo Toffolo, Andrea

Ch. 13 Evolutionary Multiobjective Optimization for Assignment Problems Mark P. Kleeman Kleeman, Mark P. Gary B. Lamont Lamont, Gary B.

Ch. 14 Evolutionary Multiobjective Optimization in Military Applications Mark P. Kleeman Kleeman, Mark P. Gary B. Lamont Lamont, Gary B.

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