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E-book

Title Advances in multi-objective nature inspired computing / Carlos A. Coello Coello, Clarisse Dhaenens, and Laetitia Jourdan (Eds.)
Published Berlin ; Heidelberg : Springer-Verlag, ©2010

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Description 1 online resource (xii, 195 pages)
Series Studies in computational intelligence ; v. 272
Studies in computational intelligence ; v. 272.
Contents Multi-Objective Combinatorial Optimization: Problematic and Context -- Approximating Pareto-Optimal Sets Using Diversity Strategies in EvolutionaryMulti-Objective Optimization -- On the Velocity Update in Multi-objective Particle Swarm Optimizers -- Approaching Dynamic Multi-objective Optimization Problems by Using Parallel Evolutionary Algorithms -- ParadisEO-MOEO: A Software Framework for Evolutionary Multi-objective Optimization -- The Multiobjective Traveling Salesman Problem: A Survey and a New Approach -- On the Performance of Local Search for the Biobjective Traveling Salesman Problem -- A Bi-objectiveMetaheuristic for Disaster Relief Operation Planning
Summary The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems
Bibliography Includes bibliographical references and index
Notes English
Print version record
Subject Combinatorial optimization.
Natural computation
Artificial intelligence.
artificial intelligence.
Natural computation.
Combinatorial optimization.
Ingénierie.
Combinatorial optimization
Natural computation
Form Electronic book
Author Coello Coello, Carlos A.
Dhaenens, Clarisse.
Jourdan, Laetitia, 1976-
ISBN 9783642112188
3642112188