Multi-Objective Optimization Using Evolutionary Algorithms

By Kalyanmoy Deb and Deb Kalyanmoy

Book 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.

• Format: Paperback
• Language: English
• ISBN: 0470743611
• ISBN13: 9780470743614
• Release Date: March 2009
• Publisher: Wiley
• Length: 544 Pages
• Weight: 2.35 lbs.
• Dimensions: 1.2" x 6.5" x 9.4"