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. Ed(S): Abraham, Ajith; Jain, Prof. Lakhmi C.; Goldberg, Robert - Evolutionary Multiobjective Optimization - 9781852337872 - V9781852337872
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Evolutionary Multiobjective Optimization

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Description for Evolutionary Multiobjective Optimization Hardback. Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the advances in this field. Packed with must-find information, it addresses the issue of evolutionary computation based MCO. It is suitable for any researcher or practitioner of the technique. Editor(s): Abraham, Ajith; Jain, Prof. Lakhmi C.; Goldberg, Robert. Series: Advanced Information and Knowledge Processing. Num Pages: 302 pages, biography. BIC Classification: UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 1390.

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.

Important features include:

  • Detailed overview of all the multiobjective optimization paradigms using evolutionary algorithms
  • Excellent coverage of timely, advanced multiobjective optimization topics
  • State-of-the-art theoretical research and application developments
  • Chapters authored by pioneers in the field

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Product Details

Format
Hardback
Publication date
2005
Publisher
Springer London Ltd United Kingdom
Number of pages
302
Condition
New
Series
Advanced Information and Knowledge Processing
Number of Pages
302
Place of Publication
England, United Kingdom
ISBN
9781852337872
SKU
V9781852337872
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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