Multi objective optimization in computational intelligence theory and practice 1st Edition by Lam Thu Bui, Sameer Alam 9781599045009 1599045001
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Product details:
ISBN 10: 1599045001
ISBN 13: 9781599045009
Author: Lam Thu Bui, Sameer Alam
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.
Table of contents:
Section I: Fundamentals
Chapter I: An Introduction to Multi-Objective Optimization
Chapter II: Multi-Objective Particles Swarm Optimization Approaches
Chapter III: Generalized Differential Evolution for Constrained Multi-Objective Optimization
Chapter IV: Towards a More Efficient Multi-Objective Particle Swarm Optimizer
Chapter V: Multi-Objective Optimization Using Artificial Immune Systems
Chapter VI: Lexicographic Goal Programming and Assessment Tools for a Combinatorial Production Probl
Chapter VII: Evolutionary Population Dynamics and Multi-Objective Optimisation Problems
Section II: Applications
Chapter VIII: Multi-Objective Evolutionary Algorithms for Sensor Network Design
Chapter IX: Evolutionary Multi-Objective Optimization for DNA Sequence Design
Chapter X: Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedd
Chapter XI: Walking with EMO: Multi-Objective Robotics for Evolving Two, Four, and Six-Legged Locomo
Chapter XII: Evolutionary Multi-Objective Optimization in Energy Conversion Systems: From Component
Chapter XIII: Evolutionary Multi-Objective Optimization for Assignment Problems
Chapter XIV: Evolutionary Multi-Objective Optimization in Military Applications
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Tags: Lam Thu Bui, Sameer Alam, Multi, computational