Enhanced compact artificial bee colony

Challenges in many real-world optimization problems arise from limited hardware availability, particularly when the optimization must be performed on a device whose hardware is highly restricted due to cost or space. This paper proposes a new algorithm, namely Enhanced compact Artificial Bee Colony...

Full description

Bibliographic Details
Main Authors: Banitalebi, Akbar, Abd. Aziz, Mohd. Ismail, Bahar, Arifah, Abdul Aziz, Zainal
Format: Article
Published: Elsevier 2015
Subjects:
_version_ 1796860057152913408
author Banitalebi, Akbar
Abd. Aziz, Mohd. Ismail
Bahar, Arifah
Abdul Aziz, Zainal
author_facet Banitalebi, Akbar
Abd. Aziz, Mohd. Ismail
Bahar, Arifah
Abdul Aziz, Zainal
author_sort Banitalebi, Akbar
collection ePrints
description Challenges in many real-world optimization problems arise from limited hardware availability, particularly when the optimization must be performed on a device whose hardware is highly restricted due to cost or space. This paper proposes a new algorithm, namely Enhanced compact Artificial Bee Colony (EcABC) to address this class of optimization problems. The algorithm benefits from the search logic of the Artificial Bee Colony (ABC) algorithm, and similar to other compact algorithms, it does not store the actual population of tentative solutions. Instead, EcABC employs a novel probabilistic representation of the population that is introduced in this paper. The proposed algorithm has been tested on a set of benchmark functions from the CEC2013 benchmark suite, and compared against a number of algorithms including modern compact algorithms, recent population-based ABC variants and some advanced meta-heuristics. Numerical results demonstrate that EcABC significantly outperforms other state of the art compact algorithms. In addition, simulations also indicate that the proposed algorithm shows a comparative performance when compared against its population-based versions.
first_indexed 2024-03-05T19:36:23Z
format Article
id utm.eprints-55006
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:36:23Z
publishDate 2015
publisher Elsevier
record_format dspace
spelling utm.eprints-550062017-02-15T07:16:55Z http://eprints.utm.my/55006/ Enhanced compact artificial bee colony Banitalebi, Akbar Abd. Aziz, Mohd. Ismail Bahar, Arifah Abdul Aziz, Zainal QA Mathematics Challenges in many real-world optimization problems arise from limited hardware availability, particularly when the optimization must be performed on a device whose hardware is highly restricted due to cost or space. This paper proposes a new algorithm, namely Enhanced compact Artificial Bee Colony (EcABC) to address this class of optimization problems. The algorithm benefits from the search logic of the Artificial Bee Colony (ABC) algorithm, and similar to other compact algorithms, it does not store the actual population of tentative solutions. Instead, EcABC employs a novel probabilistic representation of the population that is introduced in this paper. The proposed algorithm has been tested on a set of benchmark functions from the CEC2013 benchmark suite, and compared against a number of algorithms including modern compact algorithms, recent population-based ABC variants and some advanced meta-heuristics. Numerical results demonstrate that EcABC significantly outperforms other state of the art compact algorithms. In addition, simulations also indicate that the proposed algorithm shows a comparative performance when compared against its population-based versions. Elsevier 2015-03 Article PeerReviewed Banitalebi, Akbar and Abd. Aziz, Mohd. Ismail and Bahar, Arifah and Abdul Aziz, Zainal (2015) Enhanced compact artificial bee colony. Information Sciences, 298 . pp. 491-511. ISSN 0020-0255 http://dx.doi.org/10.1016/j.ins.2014.12.015 DOI:10.1016/j.ins.2014.12.015
spellingShingle QA Mathematics
Banitalebi, Akbar
Abd. Aziz, Mohd. Ismail
Bahar, Arifah
Abdul Aziz, Zainal
Enhanced compact artificial bee colony
title Enhanced compact artificial bee colony
title_full Enhanced compact artificial bee colony
title_fullStr Enhanced compact artificial bee colony
title_full_unstemmed Enhanced compact artificial bee colony
title_short Enhanced compact artificial bee colony
title_sort enhanced compact artificial bee colony
topic QA Mathematics
work_keys_str_mv AT banitalebiakbar enhancedcompactartificialbeecolony
AT abdazizmohdismail enhancedcompactartificialbeecolony
AT bahararifah enhancedcompactartificialbeecolony
AT abdulazizzainal enhancedcompactartificialbeecolony