The Wiley Paperback Series makes valuable content more accessible
to a new generation of statisticians, mathematicians and
scientists.
Evolutionary algorithms are very powerful techniques used to
find solutions to real-world search and optimization problems. Many
of these problems have multiple objectives, which leads to the need
to obtain a set of optimal solutions, known as effective solutions.
It has been found that using evolutionary algorithms is a highly
effective way of finding multiple effective solutions in a single
simulation run.Comrephensive coverage of this growing area of
research.Carefully introduces each algorithm with examples and
in-depth discussion.Includes many applications to real-world
problems, including engineering design and scheduling.Includes
discussion of advanced topics and future research.Accessible to
those with limited knowledge of multi-objective optimization and
evolutionary algorithms
Provides an extensive discussion on the principles of
multi-objective optimization and on a number of classical
approaches.
This integrated presentation of theory, algorithms and examples
will benefit those working in the areas of optimization, optimal
design and evolutionary computing.
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