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: 28/10/2008
- Category: Optimization
- ISBN: 9780470743614
- Hardback from £109.85