Special Issue on Recent Advances on Swarm Intelligence: Theory and Applications

被引：0
|
作者：
Cui, Zhihua [1 ,2 ]
Shi, Zhongzhi [2 ]
Alex, Rajan [3 ]
机构：
[1] Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 030024, Shanxi, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
[3] W Texas A&M Univ, Dept Engn & Comp Sci, Canyon, TX 79015 USA
来源：
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2012年 / 21卷 / 03期
关键词：
Swarm intelligence; no free lunch theorem; particle swarm optimization; differential evolution; ant colony;
D O I：
10.1142/S0218213012020022
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In general, multi-agent systems that use some swarm intelligence are said to be swarm intelligent systems. They are mostly used as search engines and optimization tools. The goal of this special issue has been to offer a wide spectrum of sample works throughout the world about innovative methodologies of swarm intelligence. The issue should be useful both for beginners and experienced researchers in the field of computational intelligence.
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页数：4
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