Description: Evolutionary Multi-objective Optimization in Uncertain Environments 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). Issues and Algorithms Author(s): Chi-Keong Goh, Kay Chen Tan Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642101137, 978-3642101137 Synopsis Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.
Price: 72.91 GBP
Location: Aldershot
End Time: 2024-11-26T08:46:24.000Z
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Book Title: Evolutionary Multi-objective Optimization in Uncertain Environ...
Number of Pages: 271 Pages
Language: English
Publication Name: Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2010
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 439 g
Type: Textbook
Author: Kay Chen Tan, Chi-Keong Goh
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Paperback
