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Metaheuristics for Multiobjective Optimisation

Metaheuristics for Multiobjective Optimisation

Gandibleux, Xavier
Sevaux, Marc
Sörensen, Kenneth

Paperback

Series: Lecture Notes in Economic and Mathematical Systems, Book 535

Business GeneralGeneral MathematicsProbability & Statistics

ISBN10: 354020637X
ISBN13: 9783540206378
Publisher: Springer Nature
Published: Jan 14 2004
Pages: 249
Weight: 0.82
Height: 0.55 Width: 6.14 Depth: 9.21
Language: English
A large number of real-life optimisation problems can only be realistically modelled with several often conflicting objectives. This fact requires us to abandon the concept of optimal solution in favour of vector optimization notions dealing with efficient solution and efficient set. To solve these challenging multiobjective problems, the metaheuristics community has put forward a number of techniques commonly referred to as multiobjective meta- heuristics (MOMH). By its very nature, the field of MOMH covers a large research area both in terms of the types of problems solved and the techniques used to solve these problems. Its theoretical interest and practical applicability have attracted a large number of researchers and generated numerous papers, books and spe- cial issues. Moreover, several conferences and workshops have been organised, often specialising in specific sub-areas such as multiobjective evolutionary op- timisation. The main purpose of this volume is to provide an overview of the current state-of-the-art in the research field of MOMH. This overview is necessar- ily non-exhaustive, and contains both methodological and problem-oriented contributions, and applications of both population-based and neighbourhood- based heuristics. This volume originated from the workshop on multiobjective metaheuristics that was organised at the Carre des Sciences in Paris on November 4-5, 2002. This meeting was a joint effort of two working groups: ED jME and PM20.

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