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Evolutionary Optimization in Dynamic Environments (Paperback, Softcover reprint of the original 1st ed. 2002)
Loot Price: R5,846
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Evolutionary Optimization in Dynamic Environments (Paperback, Softcover reprint of the original 1st ed. 2002)
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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