一些多目标进化算法的收敛性

Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) Pub Date : 2000-07-16 DOI:10.1109/CEC.2000.870756

G. Rudolph, Alexandru Agapie

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引用次数: 247

摘要

我们提出了四种抽象的多目标优化进化算法，并给出了它们收敛行为的理论结果。由于这些结果，很容易验证这些抽象进化算法的特定实例是否提供了所需的极限行为。给出了几个例子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Convergence properties of some multi-objective evolutionary algorithms

We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether or not a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior. Several examples are given.

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Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)

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