No. 37 (254), issue 10Pages 63 - 70

EFFICIENCY RESEARCH OF CUDA APPLICATION FOR PARETO SET RECONSTRUCTION USING PARTICLE SWARM OPTIMIZATION

A.E. Antukh, A.P. Karpenko, A.S. Semenikhin
There are a lot of practical cases that requires Pareto set construction to solve multi-objective optimization task. This article is devoted to observe a combination of well-known non-dominated sorting method with particle swarm optimization algorithm. Authors set a goal to research efficiency of the new combined method on graphical computational unit with CUDA architecture.
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Keywords
particle swarm optimization, GPU, Pareto set.
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