Shahrudin, Muhammad Shahrizan and Mahmuddin, Massudi (2014) Experiment on modified artificial bee colony for better global optimisation. In: Advances in Computer Science and its Applications. Lecture Notes in Electrical Engineering, 279 (279). Springer Berlin Heidelberg, pp. 735-741. ISBN 978-3-642-41673-6

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Abstract

Although there are many works have been done in Artificial Bee Colony (ABC) algorithm, yet, there still an issue for faster convergence for this algorithm.This paper will present a modified ABC algorithm to find optimum value for optimisation function.This hybrid ABC algorithm will adapt the modification especially in searching mechanism and probability function.The modified algorithm is tested on general global optimisation functions.The result demonstrates that the proposed algorithm produces better convergence compared to the original algorithm.

Item Type:	Book Section
Uncontrolled Keywords:	Optimisation; Artificial Bee Colony; Convergence
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Computing
Depositing User:	Dr. Massudi Mahmuddin
Date Deposited:	11 Nov 2014 07:49
Last Modified:	25 May 2016 08:05
URI:	https://repo.uum.edu.my/id/eprint/12584

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