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Multi-Objective Optimization using Evolutionary Algorithms, Paperback / softback Book

Multi-Objective Optimization using Evolutionary Algorithms Paperback / softback

Part of the Wiley Interscience Series in Systems and Optimization series


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.


  • Format: Paperback / softback
  • Pages: 544 pages
  • Publisher: John Wiley & Sons Inc
  • Publication Date:
  • Category: Optimization
  • ISBN: 9780470743614

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