Multi-objective memetic algorithms|h[electronic resource

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,...

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Other Authors: Goh, Chi-Keong
Format: Book
Language:English
Published: Springer 2017
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Online Access:http://repository.vnu.edu.vn/handle/VNU_123/31274
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-312742020-06-22T09:22:12Z Multi-objective memetic algorithms|h[electronic resource Goh, Chi-Keong Ong, Yew Soon Tan, K. C. Genetic algorithms ; Evolutionary computation 006.333 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. 2017-04-19T06:41:54Z 2017-04-19T06:41:54Z 2009 Book 9783540880516 http://repository.vnu.edu.vn/handle/VNU_123/31274 en 404 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Genetic algorithms ; Evolutionary computation
006.333
spellingShingle Genetic algorithms ; Evolutionary computation
006.333
Multi-objective memetic algorithms|h[electronic resource
description 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.
author2 Goh, Chi-Keong
author_facet Goh, Chi-Keong
format Book
title Multi-objective memetic algorithms|h[electronic resource
title_short Multi-objective memetic algorithms|h[electronic resource
title_full Multi-objective memetic algorithms|h[electronic resource
title_fullStr Multi-objective memetic algorithms|h[electronic resource
title_full_unstemmed Multi-objective memetic algorithms|h[electronic resource
title_sort multi-objective memetic algorithms|h[electronic resource
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/31274
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