DocumentCode :
467833
Title :
Particle Swarm Optimization Based on Pheromone Courtship Mode
Author :
Lin, Jiann-Horng ; Wang, Chun-Kai
Author_Institution :
I-Shou Univ., Kaohsiung
Volume :
4
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
2274
Lastpage :
2279
Abstract :
In this paper, we tried to use pheromone courtship mode of biology to improve particle swarm optimizer. In the nature, many living thing unfold many inconceivable social behaviors and the high wisdom, for example ant´s groups, migratory bird´s moving and looking for food, the fish group in order to evade the group class effect which preying on produces and so on. These swarm intelligence make the species not to become extinct. In this paper, we tried to use other swarm intelligences which not carried before. The living beings will release pheromone while seeking a spouse, use to attract the opposite sex to near. And we tried to use this kind of mode to solve the optimization problems.
Keywords :
particle swarm optimisation; biology; particle swarm optimization; pheromone courtship mode; social behavior; Birds; Capacitive sensors; Cybernetics; Demand forecasting; Environmental management; Evolutionary computation; Information management; Machine learning; Marine animals; Particle swarm optimization; Particle swarm optimizer; Pheromone; Pheromone courtship mode;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370524
Filename :
4370524
Link To Document :
بازگشت