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Computational Intelligence For Optimization (Cód: 6327340)

Nirwan Ansari; Edwin Hou

SPRINGER VERLAG POD

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Por: R$ 668,16

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Computational Intelligence For Optimization

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Descrição

The field of optimization is interdisciplinary in nature, and has made a significant impact on many areas of technology. As a result, optimization is an indispensable tool for many practitioners in various fields.
Conventional optimization techniques are well established and widely published in many excellent textbooks. However, there are new techniques, such as simulated annealing, mean field theory, and genetic algorithms, which
have proven to be effective in solving global optimization problems. Computational Intelligence for Optimization is intended as a technical description of the state-of-the-art developments
in advanced optimization techniques, specifically simulated annealing, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementation, and practical applications. Most of the theories
covered in this work and their applications are widely scattered in journals, technical reports, and conference proceedings of various fields, making it difficult for people new in the field to find easily. The authors have
brought together a comprehensive and organized treatment of these techniques, thus filling a gap in the scientific literature. Computational Intelligence for Optimization is suitable for
first-year graduate courses in electrical and computer engineering, computer science, and operational research programs. It may also be used as a reference work for practising engineers, scientists, operational researchers
and other specialists.

Características

Peso 0.45 Kg
Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
I.S.B.N. 9780792398387
Referência 9780792398387
Altura 22.90 cm
Largura 15.20 cm
Profundidade 1.75 cm
Número de Páginas 244
Idioma Inglês
Cód. Barras 9780792398387
Ano da edição 1996
AutorNirwan Ansari; Edwin Hou