Description: Multi-Objective Optimization Using Evolutionary Algorithms, Paperback by Kalyanmoy, Deb, ISBN 0470743611, ISBN-13 9780470743614, Brand New, Free shipping in the US 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.
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Book Title: Multi-Objective Optimization Using Evolutionary Algorithms
Number of Pages: 544 Pages
Publication Name: Multi-Objective Optimization Using Evolutionary Algorithms
Language: English
Publisher: Wiley & Sons, Incorporated, John
Item Height: 1.2 in
Subject: Programming / General, Decision-Making & Problem Solving, Applied, Optimization
Publication Year: 2009
Item Weight: 31.1 Oz
Type: Textbook
Author: Kalyanmoy Deb
Item Length: 9.7 in
Subject Area: Mathematics, Computers, Education
Item Width: 6.8 in
Format: Trade Paperback
