一种新的动态多目标优化进化算法

Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-08-24 DOI:10.1109/ICNC.2007.91

Bojin Zheng

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引用次数: 62

摘要

动态多目标优化问题在实际应用中非常常见。将进化算法应用于此类问题的研究吸引了越来越多的研究者。本文介绍了一种新的动态多目标优化进化算法，该算法利用超突变算子处理动态问题，利用几何Pareto选择处理多目标问题。实验结果表明，该方法具有良好的性能。

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A New Dynamic Multi-objective Optimization Evolutionary Algorithm

Dynamic multi-objective optimization problems are very common in real-world applications. The researches on applying evolutionary algorithm into such problems are attracting more and more researchers. In this paper, a new dynamic multi-objective optimization evolutionary algorithm which utilizes hyper-mutation operator to deal with dynamics and geometrical Pareto selection to deal with multi-objective is introduced. The experimental results show that the performance is satisfactory.

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Third International Conference on Natural Computation (ICNC 2007)

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