bokomslag Multi-Objective Optimization Using Evolutionary Algorithms
Vetenskap & teknik

Multi-Objective Optimization Using Evolutionary Algorithms

Kalyanmoy Deb

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Andra format:

  • 544 sidor
  • 2008
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.
  • Författare: Kalyanmoy Deb
  • Format: Pocket/Paperback
  • ISBN: 9780470743614
  • Språk: Engelska
  • Antal sidor: 544
  • Utgivningsdatum: 2008-10-28
  • Förlag: John Wiley & Sons Inc