Overview
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.
The book, Multi-Objective Optimization Using Evolutionary Algorithms [Bulk, Wholesale, Quantity] ISBN#9780470743614 in Paperback by Kalyanmoy Deb may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
03/09/2009
ISBN-13:
9780470743614
Pages:
544
Publisher:
Wiley
