Zhu, Zhong-YaoZhong-YaoZhuProf. LEUNG Kwong Sak2023-03-292023-03-292002Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, vol. 1, pp. 837 - 842, Article number 1007034http://hdl.handle.net/20.500.11861/7647In 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.enConference Proceedings10.1109/CEC.2002.1007034