![](/images/graphics-bg.png)
A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps
Joint Authors
Mao, Wei
Li, Hao-ru
Lan, Heng-you
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
As one of the most recent popular swarm intelligence techniques, artificial bee colony algorithm is poor at exploitation and has some defects such as slow search speed, poor population diversity, the stagnation in the working process, and being trapped into the local optimal solution.
The purpose of this paper is to develop a new modified artificial bee colony algorithm in view of the initial population structure, subpopulation groups, step updating, and population elimination.
Further, depending on opposition-based learning theory and the new modified algorithms, an improved S -type grouping method is proposed and the original way of roulette wheel selection is substituted through sensitivity-pheromone way.
Then, an adaptive step with exponential functions is designed for replacing the original random step.
Finally, based on the new test function versions CEC13, six benchmark functions with the dimensions D = 20 and D = 40 are chosen and applied in the experiments for analyzing and comparing the iteration speed and accuracy of the new modified algorithms.
The experimental results show that the new modified algorithm has faster and more stable searching and can quickly increase poor population diversity and bring out the global optimal solutions.
American Psychological Association (APA)
Mao, Wei& Lan, Heng-you& Li, Hao-ru. 2016. A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099828
Modern Language Association (MLA)
Mao, Wei…[et al.]. A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1099828
American Medical Association (AMA)
Mao, Wei& Lan, Heng-you& Li, Hao-ru. A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099828
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099828