New York: Institute of Electrical and Electronics Engineers (IEEE)
Abstract:
A new optimization technique, the Genetic Annealing Algorithm (GAA), is proposed in this paper to solve the task matching and scheduling problem in a heterogeneous computing system. The GAA is simple in design; it employs only the stir operation, a novel idea with the annealing concept, to locate optimal solutions, Experimental evaluation shows that compared with the Genetic Algorithm, Simulated Annealing and Guide Evolutionary Simulated Annealing approaches, the GAA yields constantly favorable performance in terms of speedup, running time, cost and complexity.
Relation:
Parallel and Distributed Systems, 2002. Proceedings. Ninth International Conference on, pp.419-424
