工程设计问题的多起点大洪水元启发式算法

ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010 Pub Date : 2010-05-16 DOI:10.1109/AICCSA.2010.5586932

S. Dhouib

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引用次数: 3

摘要

大洪水(GD)元启发式算法是一种通用的、强大的、易于实现的算法，它起源于模拟退火(SA)。本文提出了一种多启动大洪水(MSGD)方法，并将其应用于工程优化设计问题。MSGD方法使用GD算法加强搜索，并采用Multi Start技术使工作空间多样化。计算机仿真结果表明，所提出的MSGD算法的性能优于以往的模拟退火算法和遗传算法。

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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A Multi Start Great Deluge metaheuristic for engineering design problems

The Great Deluge (GD) metaheuristic is general, powerful and easily implemented, it is derived from Simulated Annealing (SA). In this paper, a Multi Start Great Deluge (MSGD) method is proposed and applied to optimize engineering design problems. The MSGD approach uses the GD algorithm to intensify search and employ the Multi Start technique to diversify the workspace. By computer simulations, it is shown that the performance of the proposed algorithms MSGD is better than the previous simulated annealing and genetic algorithm.

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ACS/IEEE International Conference on Computer Systems and Applications - AICCSA 2010

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