Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7546
Title: | Effect of spatial locality on an evolutionary algorithm for multimodal optimization |
Authors: | Wong, Ka-Chun Prof. LEUNG Kwong Sak Wong, Man-Hon |
Issue Date: | 2010 |
Publisher: | Springer Verlag |
Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6024 LNCS, Issue PART 1, pp. 481 - 490 |
Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Abstract: | To explore the effect of spatial locality, crowding differential evolution is incorporated with spatial locality for multimodal optimization. Instead of random trial vector generations, it takes advantages of spatial locality to generate fitter trial vectors. Experiments were conducted to compare the proposed algorithm (CrowdingDE-L) with the state-of-the-art algorithms. Further experiments were also conducted on a real world problem. The experimental results indicate that CrowdingDE-L has a competitive edge over the other algorithms tested. © 2010 Springer-Verlag Berlin Heidelberg. |
Type: | Conference Paper |
URI: | http://hdl.handle.net/20.500.11861/7546 |
ISBN: | 3642122388 978-364212238-5 |
ISSN: | 03029743 |
DOI: | 10.1007/978-3-642-12239-2_50 |
Appears in Collections: | Applied Data Science - Publication |
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