Description: Multi-Objective Memetic Algorithms 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): Chi-Keong Goh, Yew-Soon Ong, Kay Chen Tan Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783540880509, 978-3540880509 Synopsis The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as compared to its conventional counterparts. Nonetheless, researchers are only beginning to realize the vast potential of multi-objective Memetic algorithm and there remain many open topics in its design. This book presents a very first comprehensive collection of works, written by leading researchers in the field, and reflects the current state-of-the-art in the theory and practice of multi-objective Memetic algorithms. "Multi-Objective Memetic algorithms" is organized 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 Memetic algorithms and multi-objective optimization.
Price: 105.08 GBP
Location: Aldershot
End Time: 2024-11-26T09:13:10.000Z
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Book Title: Multi-Objective Memetic Algorithms
Number of Pages: 404 Pages
Language: English
Publication Name: Multi-Objective Memetic Algorithms
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2009
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 1670 g
Type: Textbook
Author: Kay Chen Tan, Yew-Soon Ong, Chi-Keong Goh
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Hardcover
