Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7647
Title: | Asynchronous self-adjustable island genetic algorithm for multi-objective optimization problems |
Authors: | Zhu, Zhong-Yao Prof. LEUNG Kwong Sak |
Issue Date: | 2002 |
Publisher: | IEEE Computer Society |
Source: | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, vol. 1, pp. 837 - 842, Article number 1007034 |
Journal: | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 |
Abstract: | In this paper, we present a new algorithm-asynchronous self-adjustable island genetic algorithm (aSAIGA) for multi-objective optimization problems. The proposed algorithm is built upon the coarse-grained architecture, which is divided into sub-processes and distributed amongst several island processors. In each sub-process, an asynchronous communication operation and a self-adjusting operation are adopted to enhance the algorithm in both speedup and global searching capabilities. Satisfactory results and significant speedup can be achieved by aSAIGA, as shown by simulation. © 2002 IEEE. |
Type: | Conference Proceedings |
URI: | http://hdl.handle.net/20.500.11861/7647 |
DOI: | 10.1109/CEC.2002.1007034 |
Appears in Collections: | Publication |
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