Description: Multi-Objective Optimization using Evolutionary AlgorithmsAuthor(s): Kalyanmoy Deb Format: Hardback Publisher: John Wiley & Sons Inc, United States Imprint: John Wiley & Sons Inc ISBN-13: 9780471873396, 978-0471873396 Synopsis Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many 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. Comprehensive 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 Can be used as a course text or for self-study Accessible to those with limited knowledge of classical multi-objective optimization and evolutionary algorithms The integrated presentation of theory, algorithms and examples will benefit those working and researching in the areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
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Book Title: Multi-Objective Optimization using Evolutionary Algorithms
Item Height: 255 mm
Item Width: 178 mm
Series: Wiley Interscience Series in Systems and Optimization
Author: Kalyanmoy Deb
Publication Name: Multi-Objective Optimization Using Evolutionary Algorithms
Format: Hardcover
Language: English
Publisher: John Wiley & Sons INC International Concepts
Subject: Mathematics
Publication Year: 2001
Type: Textbook
Item Weight: 1052 g
Number of Pages: 518 Pages
