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Asynchronous self-adjustable island genetic algorithm for multi-objective optimization problems
Author(s)
Date Issued
2002
Publisher
IEEE Computer Society
Citation
Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, vol. 1, pp. 837 - 842, Article number 1007034
Type
Conference Proceedings
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.
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