A chaos algorithm based on prograssive optimality and tabu search algorithm

被引：0

作者：

Yang, JJ ^{[1
]}

Zhou, JZ ^{[1
]}

Wu, W ^{[1
]}

Liu, F ^{[1
]}

Zhu, CJ ^{[1
]}

Cao, GJ ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Wuhan 430074, Hubei, Peoples R China

来源：

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年

关键词：

chaos; progressive optimality algorithm; tabu search; optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on the analysis of the properties of progressive optimality algorithm (POA), tabu search (TS) and mutative scale chaos optimization algorithm (MSCOA), a chaos optimization algorithm is presented. The algorithm has not only the implicit parallelism and global convergence of POA, but also the intelligence of tabu search and the fast convergence of MSCOA. The simulation results show that the algorithm, with characters of simple, optimization efficiency and strong robustness etc., is a effective technique to solve larger-scale nonlinear programming problems.

引用

页码：2977 / 2981

页数：5

共 18 条

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