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A modified artificial bee colony algorithm for constrained optimization problems

Ahmad, Rohanin (2014) A modified artificial bee colony algorithm for constrained optimization problems. JCIT: Journal Of Convergence Information Technology, 9 (6). pp. 151-163. ISSN 1975-9320

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Official URL: http://dx.doi.org/10.1016/j.asoc.2010.12.001

Abstract

Artificial Bee Colony (ABC) algorithm was firstly proposed for unconstrained optimization problems on where that ABC algorithm showed superior performance. This paper describes a modified ABC algorithm for constrained optimization problems and compares the performance of the modified ABC algorithm against those of state-of-the-art algorithms for a set of constrained test problems. For constraint handling, ABC algorithm uses Deb's rules consisting of three simple heuristic rules and a probabilistic selection scheme for feasible solutions based on their fitness values and infeasible solutions based on their violation values. ABC algorithm is tested on thirteen well-known test problems and the results obtained are compared to those of the state-of-the-art algorithms and discussed. Moreover, a statistical parameter analysis of the modified ABC algorithm is conducted and appropriate values for each control parameter are obtained using analysis of the variance (ANOVA) and analysis of mean (ANOM) statistics.

Item Type:Article
Subjects:A General Works
ID Code:59570
Deposited By: Haliza Zainal
Deposited On:23 Jan 2017 08:24
Last Modified:11 Jun 2017 10:18

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