A search algorithm for global optimisation

被引：0

作者：

Chen, S ^{[1
]}

Wang, XX

Harris, CJ

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

[2] Aston Univ, Neural Comp Res Grp, Birmingham B4 7ET, W Midlands, England

来源：

ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS | 2005年 / 3611卷

关键词：

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：

This paper investigates a global search optimisation technique, referred to as the repeated weighted boosting search. The proposed optimisation algorithm is extremely simple and easy to implement. Heuristic explanation is given for the global search capability of this technique. Comparison is made with the two better known and widely used global search techniques, known as the genetic algorithm and adaptive simulated annealing. The effectiveness of the proposed algorithm as a global optimiser is investigated through several examples.

引用

页码：1122 / 1130

页数：9

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