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
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;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1330939
