Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems

The Artificial Bee Colony (ABC) algorithm is a powerful metaheuristic optimization technique inspired by the honeybee foraging behaviour. However, ABC algorithm can struggle to explore new regions effectively, leading to slow convergence and premature convergence on suboptimal solutions. This resear...

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Main Author: Lee, Wei Wen
Format: Thesis
Language:English
English
Published: 2024
Online Access:http://eprints.utem.edu.my/id/eprint/28546/1/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf
http://eprints.utem.edu.my/id/eprint/28546/2/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf
http://eprints.utem.edu.my/id/eprint/28546/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124369
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spelling my.utem.eprints.285462025-02-14T16:45:26Z http://eprints.utem.edu.my/id/eprint/28546/ Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems Lee, Wei Wen The Artificial Bee Colony (ABC) algorithm is a powerful metaheuristic optimization technique inspired by the honeybee foraging behaviour. However, ABC algorithm can struggle to explore new regions effectively, leading to slow convergence and premature convergence on suboptimal solutions. This research addresses these limitations by developing modified ABC algorithms specifically for tackling engineering optimization problems. Recognizing limitations in the employed bee phase, the research applies the modification rate ( 2024 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/28546/1/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf text en http://eprints.utem.edu.my/id/eprint/28546/2/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf Lee, Wei Wen (2024) Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124369
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
description The Artificial Bee Colony (ABC) algorithm is a powerful metaheuristic optimization technique inspired by the honeybee foraging behaviour. However, ABC algorithm can struggle to explore new regions effectively, leading to slow convergence and premature convergence on suboptimal solutions. This research addresses these limitations by developing modified ABC algorithms specifically for tackling engineering optimization problems. Recognizing limitations in the employed bee phase, the research applies the modification rate (
format Thesis
author Lee, Wei Wen
spellingShingle Lee, Wei Wen
Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
author_facet Lee, Wei Wen
author_sort Lee, Wei Wen
title Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
title_short Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
title_full Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
title_fullStr Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
title_full_unstemmed Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
title_sort formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/28546/1/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf
http://eprints.utem.edu.my/id/eprint/28546/2/Formulation%20of%20metaheuristic%20algorithms%20based%20on%20artificial%20bee%20colony%20for%20engineering%20problems.pdf
http://eprints.utem.edu.my/id/eprint/28546/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124369
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score 13.239859