Multi-Objective Optimization Using Evolutionary Algorithms

Kalyanmoy Deb

ISBN 10: 0470743611 / ISBN 13: 9780470743614

Published by Wiley Mär 2009, 2009

Neuware - 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 algorithmsProvides 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. Seller Inventory # 9780470743614

Synopsis:

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.

1. Comrephensive coverage of this growing area of research.
2. Carefully introduces each algorithm with examples and in-depth discussion.
3. Includes many applications to real-world problems, including engineering design and scheduling.
4. Includes discussion of advanced topics and future research.
5. 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.

About the Author:

Kalyanmoy Deb is an Indian computer scientist. Since 2013, Deb has held the Herman E. & Ruth J. Koenig Endowed Chair in the Department of Electrical and Computing Engineering at Michigan State University, which was established in 2001.

Bibliographic Details

Title: Multi-Objective Optimization Using ...
Publisher: Wiley Mär 2009
Publication Date: 2009
Binding: Taschenbuch
Condition: Neu