Title :
Modified Artificial Bee Colony Algorithms for Numerical Optimization
Author :
Zhang Dongli ; Guan Xinping ; Tang Yinggan ; Tang Yong
Author_Institution :
Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
Abstract :
The artificial bee colony algorithm is a swarm intelligence optimization algorithm inspired by the intelligent foraging behavior of honeybees. In this paper, modified ABC algorithms are proposed for numerical optimization. We have compared the performance of our ABC approach against the basic ABC algorithm, results show that the proposed methods have somewhat improved the convergence rate and global searching capability in some optimization problems.
Keywords :
optimisation; artificial bee colony algorithm; honeybee intelligent foraging behavior; numerical optimization; swarm intelligence optimization algorithm; Algorithm design and analysis; Clustering algorithms; Convergence; Optimization; Particle swarm optimization; Recurrent neural networks; Tin;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
DOI :
10.1109/ISA.2011.5873266
