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Abstract
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Article Information:
Performance Comparison of Constrained Artificial Bee Colony Algorithm
Soudeh Babaeizadeh and Rohanin Ahmad
Corresponding Author: Rohanin Ahmad
Submitted: November 13, 2014
Accepted: January 27, 2015
Published: June 15, 2015 |
Abstract:
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This study is aimed to evaluate, analyze and compare the performances of available constrained Artificial Bee Colony (ABC) algorithms in the literature. In recent decades, many different variants of the ABC algorithms have been suggested to solve Constrained Optimization Problems (COPs). However, to the best of the authors' knowledge, there rarely are comparative studies on the numerical performance of those algorithms. This study is considering a set of well-known benchmark problems from test problems of Congress of Evolutionary Computation 2006 (CEC2006).
Key words: Artificial bee colony, constrained optimization, nature inspired algorithms, swarm intelligence, , ,
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Cite this Reference:
Soudeh Babaeizadeh and Rohanin Ahmad, . Performance Comparison of Constrained Artificial Bee Colony Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (5): 537-546.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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