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Evolutionary Optimization in Dynamic Environments (Hardcover, 2002 ed.)
Loot Price: R5,704
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Evolutionary Optimization in Dynamic Environments (Hardcover, 2002 ed.)
Series: Genetic Algorithms and Evolutionary Computation, 3
Expected to ship within 10 - 15 working days
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Evolutionary Algorithms (EAs) have grown into a mature field of
research in optimization, and have proven to be effective and
robust problem solvers for a broad range of static real-world
optimization problems. Yet, since they are based on the principles
of natural evolution, and since natural evolution is a dynamic
process in a changing environment, EAs are also well suited to
dynamic optimization problems. Evolutionary Optimization in Dynamic
Environments is the first comprehensive work on the application of
EAs to dynamic optimization problems. It provides an extensive
survey on research in the area and shows how EAs can be
successfully used to continuously and efficiently adapt a solution
to a changing environment, find a good trade-off between solution
quality and adaptation cost, find robust solutions whose quality is
insensitive to changes in the environment, find flexible solutions
which are not only good but that can be easily adapted when
necessary. All four aspects are treated in this book, providing a
holistic view on the challenges and opportunities when applying EAs
to dynamic optimization problems. The comprehensive and up-to-date
coverage of the subject, together with details of latest original
research, makes Evolutionary Optimization in Dynamic Environments
an invaluable resource for researchers and professionals who are
dealing with dynamic and stochastic optimization problems, and who
are interested in applying local search heuristics, such as
evolutionary algorithms.
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