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
Full text not available from this repository. (Request a copy)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 |
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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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