Adaptive Intelligence Applied to Numerical Optimisation

被引：0

作者：

Penev, Kalin ^{[1
]}

Ruzhekov, Anton ^{[2
]}

机构：

[1] Southampton Solent Univ, Southampton, Hants, England

[2] Tech Univ, Sofia, Bulgaria

来源：

NUMERICAL METHODS AND APPLICATIONS | 2011年 / 6046卷

关键词：

Free Search; optimisation; adaptive search heuristics; Genetic Algorithm; Particle Swarm Optimisation; Differential Evolution;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The article presents modification strategies' theoretical comparison and experimental results achieved by adaptive heuristics applied to numerical optimisation of several non-constraint test functions. The aims of the study are to identify and compare how adaptive search heuristics behave within heterogeneous search space without retuning of the search parameters. The achieved results are summarised and analysed, which could be used for comparison to other methods and further investigation.

引用

页码：280 / +

页数：3

共 14 条

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