Metaheuristics for Multiobjective Optimisation

Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen, Vincent T'Kindt - Collection Lecture Notes in Economics and Mathematical Systems

250 pages, parution le 11/02/2004

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Résumé

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.

Written for:
Scientists

L'auteur - Xavier Gandibleux

Editor

L'auteur - Marc Sevaux

Professeur à l'Université de Bretagne-Sud à Lorient, Marc Sevaux enseigne la recherche opérationnelle. Il est directeur-adjoint du Lab- STICC et responsable du groupe Recherche Opérationnelle. La conception de méthodes d'optimisation pour des applications réelles est sa principale activité de recherche.

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L'auteur - Kenneth Sörensen

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L'auteur - Vincent T'Kindt

Editor

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Sommaire

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.

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen, Vincent T'Kindt
Collection	Lecture Notes in Economics and Mathematical Systems
Parution	11/02/2004
Nb. de pages	250
Format	15,5 x 23,5
Couverture	Broché
Poids	400g
Intérieur	Noir et Blanc
EAN13	9783540206378