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Metaheuristics for Multiobjective Optimisation (Paperback, 2004 ed.)
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Metaheuristics for Multiobjective Optimisation (Paperback, 2004 ed.)
Series: Lecture Notes in Economics and Mathematical Systems, 535
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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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