DocumentCode
419072
Title
Talent based social algorithm for optimization
Author
Daneshyari, Moayed ; Yen, Gary G.
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Volume
1
fYear
2004
fDate
19-23 June 2004
Firstpage
786
Abstract
This paper presents an optimization strategy based on the social algorithm and collective behaviors. The new algorithm proposed incorporates the information of the individuals within the society introduced as their talent and the collective behavior of the society in the civilization called the liberty rate. The algorithm has been demonstrated on two benchmark problems and shown promising results for further investigation.
Keywords
evolutionary computation; optimisation; societies; collective behaviors; computational intelligence; liberty rate; optimization; talent-based social algorithm; Algorithm design and analysis; Animals; Ant colony optimization; Birds; Collaboration; Competitive intelligence; Computational intelligence; Humans; Particle swarm optimization; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1330939
Filename
1330939
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