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Multi-Objective Optimization Using Evolutionary Algorithms

Bog
  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have multiple objectives, which leads to the need to obtain a set of optimal solutions, known as effective solutions. It has been found that using evolutionary algorithms is a highly effective way of finding multiple effective solutions in a single simulation run.

Comrephensive coverage of this growing area of research.Carefully introduces each algorithm with examples and in-depth discussion.Includes many applications to real-world problems, including engineering design and scheduling.Includes discussion of advanced topics and future research.Accessible to those with limited knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective optimization and on a number of classical approaches.

This integrated presentation of theory, algorithms and examples will benefit those working in the areas of optimization, optimal design and evolutionary computing.

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Detaljer
  • SprogEngelsk
  • Sidetal544
  • Udgivelsesdato28-10-2008
  • ISBN139780470743614
  • Forlag John Wiley & Sons Inc
  • FormatPaperback
Størrelse og vægt
  • Vægt879 g
  • Dybde3 cm
  • coffee cup img
    10 cm
    book img
    17,2 cm
    24,8 cm

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