Swarm intelligence: Theoretical proof that empirical techniques are optimal

被引：0

作者：

Iourinski, D ^{[1
]}

Starks, SA ^{[1
]}

Kreinovich, V ^{[1
]}

机构：

[1] Univ Texas, NASA, Panamer Ctr Earth & Environm Studies, El Paso, TX 79968 USA

来源：

MULTIMEDIA, IMAGE PROCESSING AND SOFT COMPUTING: TRENDS, PRINCIPLES AND APPLICATIONS | 2002年 / 13卷

关键词：

swarm intelligence; autonomous agents; optimality proof;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A natural way to distribute tasks between autonomous agents is to use swarm intelligence techniques, which simulate the way social insects (such as wasps) distribute tasks between themselves. In this paper, we theoretically prove that the corresponding successful biologically inspired formulas are indeed statistically optimal (in some reasonable sense).

引用

页码：107 / 112

页数：6

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