Experiment on modified artificial bee colony for better global optimisation
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 modific...
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Format: | Book Section |
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Springer Berlin Heidelberg
2014
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author | Shahrudin, Muhammad Shahrizan Mahmuddin, Massudi |
author2 | Hwa, Young Jeong |
author_facet | Hwa, Young Jeong Shahrudin, Muhammad Shahrizan Mahmuddin, Massudi |
author_sort | Shahrudin, Muhammad Shahrizan |
collection | UUM |
description | 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. |
first_indexed | 2024-07-04T05:50:17Z |
format | Book Section |
id | uum-12584 |
institution | Universiti Utara Malaysia |
last_indexed | 2024-07-04T05:50:17Z |
publishDate | 2014 |
publisher | Springer Berlin Heidelberg |
record_format | eprints |
spelling | uum-125842016-05-25T08:05:45Z https://repo.uum.edu.my/id/eprint/12584/ Experiment on modified artificial bee colony for better global optimisation Shahrudin, Muhammad Shahrizan Mahmuddin, Massudi QA76 Computer software 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. Springer Berlin Heidelberg Hwa, Young Jeong Obaidat, Mohammad S. Yen, Neil Y. Park, James J. (Jong Hyuk) 2014 Book Section PeerReviewed 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 http://dx.doi.org/10.1007/978-3-642-41674-3_105 doi:10.1007/978-3-642-41674-3_105 doi:10.1007/978-3-642-41674-3_105 |
spellingShingle | QA76 Computer software Shahrudin, Muhammad Shahrizan Mahmuddin, Massudi Experiment on modified artificial bee colony for better global optimisation |
title | Experiment on modified artificial bee colony for better global optimisation |
title_full | Experiment on modified artificial bee colony for better global optimisation |
title_fullStr | Experiment on modified artificial bee colony for better global optimisation |
title_full_unstemmed | Experiment on modified artificial bee colony for better global optimisation |
title_short | Experiment on modified artificial bee colony for better global optimisation |
title_sort | experiment on modified artificial bee colony for better global optimisation |
topic | QA76 Computer software |
work_keys_str_mv | AT shahrudinmuhammadshahrizan experimentonmodifiedartificialbeecolonyforbetterglobaloptimisation AT mahmuddinmassudi experimentonmodifiedartificialbeecolonyforbetterglobaloptimisation |