PASSSS:一种处理约束的新颖多样性策略的实现

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI:10.1109/CEC.2004.1330885

A. H. Aguirre, S. Rionda, C. C. Coello

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引用次数: 11

摘要

本文介绍了PASSSS (PAS/sup 4/)、Pareto存档和优势选择的可收缩搜索空间进化计算算法。本文的主要贡献是将多样性控制机制嵌入到进化算法的选择算子中，该算法可以(很少或不需要修改)用于解决单目标和多目标优化问题。我们详细描述了PAS/sup 4/算法，并通过解决几个工程设计问题和一些来自进化优化中知名基准的测试函数来说明其功能。此外，PAS/sup 4/还可用于解决连续和离散的多目标工程优化问题。

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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PASSSS: an implementation of a novel diversity strategy for handling constraints

In this paper, we introduce PASSSS (PAS/sup 4/), the Pareto archived and dominance selection with shrinkable search space evolutionary computation algorithm. The main contribution of this paper is a diversity control mechanism embedded into the selection operator of an evolutionary algorithm that can be used (with little or no modification) to solve both single-objective and multi-objective optimization problems. We present a detailed description of the PAS/sup 4/ algorithm, and illustrate its capabilities by solving several engineering design problems and some test functions from a well-known benchmark in evolutionary optimization. Additionally, PAS/sup 4/ is also used to solve continuous and discrete multiobjective engineering optimization problems.

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Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)

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