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Evolutionary Computation in Dynamic and Uncertain Environments
. Ed(S): Yang, Shengxiang; Ong, Yew Soon; Jin, Yaochu
€ 253.69
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Description for Evolutionary Computation in Dynamic and Uncertain Environments
Hardback. Compiles advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. This book includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, and search for robust solutions. Editor(s): Yang, Shengxiang; Ong, Yew Soon; Jin, Yaochu. Series: Studies in Computational Intelligence. Num Pages: 605 pages, 89 black & white tables, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 35. Weight in Grams: 1105.
Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means of selection and variation. These two principles of natural evolution form the fundamental of evolutionary - gorithms (EAs). During the past several decades, EAs have been extensively studied by the computer science and arti?cial intelligence communities. As a classofstochasticoptimizationtechniques,EAscanoftenoutperformclassical optimization techniques for di?cult real world problems. Due to the ease of use and robustness, EAs have been applied to a wide variety of optimization problems. Most of these optimization problems ta- led ... Read more
Evolutionary computation is a class of problem optimization methodology with the inspiration from the natural evolution of species. In nature, the population of a species evolves by means of selection and variation. These two principles of natural evolution form the fundamental of evolutionary - gorithms (EAs). During the past several decades, EAs have been extensively studied by the computer science and arti?cial intelligence communities. As a classofstochasticoptimizationtechniques,EAscanoftenoutperformclassical optimization techniques for di?cult real world problems. Due to the ease of use and robustness, EAs have been applied to a wide variety of optimization problems. Most of these optimization problems ta- led ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
605
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
605
Place of Publication
Berlin, Germany
ISBN
9783540497721
SKU
V9783540497721
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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