Tree swarm optimization:: An approach to PSO-based tree discovery

被引：0

作者：

Veenhuis, C ^{[1
]}

Köppen, M ^{[1
]}

Krüger, P ^{[1
]}

Nickolay, B ^{[1
]}

机构：

[1] Fraunhofer IPK, D-10587 Berlin, Germany

来源：

2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS | 2005年

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：

In recent years a swarm-based optimization methodology called Particle Swarm Optimization (PSO) has developed. PSO is highly explorative and primarily used in function optimization. This paper proposes a swarm-based learning algorithm based on PSO which is able to discover trees in tree spaces. Particles are flying through a tree space forming flocks around peaks of a fitness function. Because it inherits the explorative property of PSO, it needs only few evaluations to find suitable trees.

引用

页码：1238 / 1245

页数：8

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