Description: Evolutionary Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Ruhul Sarker, Masoud Mohammadian, Xin Yao Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781475775709, 978-1475775709 Synopsis Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.
Price: 104.23 GBP
Location: Aldershot
End Time: 2024-11-06T09:26:02.000Z
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Book Title: Evolutionary Optimization
Number of Pages: 418 Pages
Language: English
Publication Name: Evolutionary Optimization
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Computer Science, Mathematics, Management, Business
Item Height: 235 mm
Item Weight: 664 g
Type: Textbook
Author: Xin Yao, Ruhul Sarker, Masoud Mohammadian
Subject Area: Data Analysis
Series: International Series in Operations Research & Management Science
Item Width: 155 mm
Format: Paperback
