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Performance comparison of constrained artificial bee colony algorithm

Babaeizadeh, Soudeh and Ahmad, Rohanin (2015) Performance comparison of constrained artificial bee colony algorithm. Research Journal Of Applied Sciences, Engineering And Technology, 10 (5). pp. 537-546. ISSN 2040-7459

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Abstract

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).

Item Type:Article
Uncontrolled Keywords:artificial bee colony, constrained optimization, nature inspired algorithms, swarm intelligence
Subjects:A General Works
ID Code:58781
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:01 Mar 2017 13:12

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