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Metaheuristics for Multiobjective Optimisation (Lecture Notes in Economics and Mathematical Systems)

Metaheuristics for Multiobjective Optimisation (Lecture Notes in Economics and Mathematical Systems)

Marc Sevaux
3/5 ( ratings)
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 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 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.
Language
English
Pages
249
Format
Kindle Edition
Publisher
Springer
Release
January 14, 2004

Metaheuristics for Multiobjective Optimisation (Lecture Notes in Economics and Mathematical Systems)

Marc Sevaux
3/5 ( ratings)
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 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 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.
Language
English
Pages
249
Format
Kindle Edition
Publisher
Springer
Release
January 14, 2004

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