DocumentCode :
707539
Title :
Applications of Artificial Bee Colony Optimization technique: Survey
Author :
Kaswan, Kuldeep Singh ; Choudhary, Sunita ; Sharma, Kapil
Author_Institution :
Dept. of Comput. Sci., Banasthali Univ., Tonk, India
fYear :
2015
fDate :
11-13 March 2015
Firstpage :
1660
Lastpage :
1664
Abstract :
In this paper, an overviews of different application areas are discussed, where the Artificial Bee Colony (ABC) optimization algorithm has applied. Artificial bee colony was introduced by Karabora in 2005. It was developed to solve real parameter optimization problem. BCO´s (Bee Colony Optimization) foraging behavior is simulated in artificial bee colony. This system portraying organized team-work well coordinated interaction, labor division, simultaneous task performance and well-knit communication.
Keywords :
optimisation; ABC optimization algorithm; BCO; artificial bee colony optimization technique; bee colony optimization foraging behavior; Algorithm design and analysis; Benchmark testing; Clustering algorithms; Heuristic algorithms; Optimization; Prediction algorithms; Software algorithms; Artificial Bee Colony Optimization (ABC); Bee Colony Optimization (BCO); CABC; IABC; Swarm Intelligence (SI);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
Type :
conf
Filename :
7100529
Link To Document :
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