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Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
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| This book presents a unified view of evolutionary
algorithms: the exciting new probabilistic search tools
inspired by biological models that have immense potential as
practical problem-solvers in a wide variety of settings,
academic, commercial, and industrial. In this work, the
author compares the three most prominent representatives of
evolutionary algorithms: genetic algorithms, evolution
strategies, and evolutionary programming. The algorithms are
presented within a unified framework, thereby clarifying the
similarities and differences of these methods. The author
also presents new results regarding the role of mutation and
selection in genetic algorithms, showing how mutation seems
to be much more important for the performance of genetic
algorithms than usually assumed. The interaction of
selection and mutation, and the impact of the binary code
are further topics of interest. Some of the theoretical
results are also confirmed by performing an experiment in
meta-evolution on a parallel computer. The meta-algorithmstrategies and genetic algorithms to yield a hybrid capable
of handling mixed integer optimization problems. As a
detailed description of the algorithms, with practical
guidelines for usage and implementation, this work will
interest a wide range of researchers in computer science and
engineering disciplines, as well as graduate students in
these fields. |
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Auf Bestellung (Lieferzeit unbekannt)
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