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Book synopsis

The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for multi-objective problems is the subject of this volume. The book includes selected surveys, tutorials and state-of-the-art research papers in this field, which were first presented at a free workshop jointly organized by the French working group on Multi-objective Mathematical Programming (PM2O) and the EURO working group on Metaheuristics in December 2002. It is the first book which considers both various metaheuristics and various kind of problems (e.g. combinatorial problems, real situations, non-linear problems) applied to multiple objective optimization. Metaheuristics used include: genetic algorithms, ant colony optimization, simulated annealing, scatter search, etc. Problems concern timetabling, vehicle routing, and more. Methodological aspects, such as quality evaluation, are also covered. TOC:Methodology: A Tutorial on Evolutionary Multiobjective Optimization.- Bounded Pareto Archiving: Theory and Practice.- Evaluation of Multiple Objective Metaheuristics.- An Introduction to Multiobjective Metaheuristics for Scheduling and Timetabling.- Problem-oriented Contributions: A Particular Multi-Objective Vehicle Routing Problem Solved by Simulated Annealing.- A Dynasearch Neighborhood for the Bicriteria Travelling Salesman Problem.- Pareto Local Optimum Sets in the Biobjective Travelling Salesman Problem: An Experimental Study.- A Genetic Algorithm for Tackling Multi-Objective Job-Shop Scheduling Problems.- RPSGAe - Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion.

Book details

Book category Books in English Mathematics & science Mathematics Optimization

• Full title: Metaheuristics for Multiobjective Optimisation
• Author: X. Gandibleux, M. Sevaux, K. Sörensen
• Language: English
• Binding: Paperback
• Number of pages: 249
• EAN: 9783540206378
• ISBN: 354020637X
• ID: 01558864
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 830 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 14. January 2004

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