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A Load Balancing Technique Combined with Mean-Field Annealing and Genetic Algorithms  

Hong Chul-Eui (상명대학교 소프트웨어학부)
Park Kyeong-Mo (가톨릭대학교 컴퓨터정보공학부)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.33, no.8, 2006 , pp. 486-494 More about this Journal
Abstract
In this paper, we introduce a new solution for the load balancing problem, an important issue in parallel processing. Our heuristic load balancing technique called MGA effectively combines the benefit of both mean-field annealing (MFA) and genetic algorithms (GA). We compare the proposed MGA algorithm with other mapping algorithms (MFA, GA-l, and GA-2). A multiprocessor mapping algorithm simulation has been developed to measure performance improvement ratio of these algorithms. Our experimental results show that our new technique, the composition of heuristic mapping methods improves performance over the conventional ones, in terms of solution quality with a longer run time.
Keywords
mapping; parallel processing; simulated annealing; mean-field annealing; genetic algorithms;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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