NDLI: Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial foraging optimization algorithm

Content Provider	IEEE Xplore Digital Library
Author	Yiwen Zhong Juan Lin Jing Ning Xiaoyu Lin
Copyright Year	2011
Description	Author affiliation: College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, China (Yiwen Zhong; Juan Lin; Jing Ning; Xiaoyu Lin)
Abstract	Artificial bee colony (ABC) algorithm is a new global stochastic optimization algorithm based on the collective foraging behavior of honeybee swarms. In order to improve the intensification ability of ABC algorithm, a hybrid ABC (HABC) algorithm is presented where chemotaxis behavior of bacterial foraging optimization algorithm is embedded into the exploitation process of employed bees and onlooker bees. Four benchmark functions are simulated in the experiments in order to compare the ABC and the HABC, and the results show that the hybrid algorithm outperforms the basic ABC algorithm.
Starting Page	1171
Ending Page	1174
File Size	247678
Page Count	4
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022147
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis bacterial foraging optimization Microorganisms artificial bee colony chemotaxis behavior Tin Educational institutions Mathematical model Optimization Convergence
Content Type	Text
Resource Type	Article

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