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Improved chemotaxis differential evolution optimization algorithm

The social foraging behavior of Escherichia coli has recently received great attention and it has been employed to solve complex search optimization problems.This paper presents a modified bacterial foraging optimization BFO algorithm, ICDEOA (Improved Chemotaxis Differential Evolution Optimization...

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Main Authors: Yıldız, Y. Emre, Altun, Oğuz, Topal, A. Osman
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/15573/1/PID174.pdf
http://repo.uum.edu.my/15573/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
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id my.uum.repo.15573
record_format eprints
spelling my.uum.repo.155732016-04-28T01:59:51Z http://repo.uum.edu.my/15573/ Improved chemotaxis differential evolution optimization algorithm Yıldız, Y. Emre Altun, Oğuz Topal, A. Osman QA76 Computer software The social foraging behavior of Escherichia coli has recently received great attention and it has been employed to solve complex search optimization problems.This paper presents a modified bacterial foraging optimization BFO algorithm, ICDEOA (Improved Chemotaxis Differential Evolution Optimization Algorithm), to cope with premature convergence of reproduction operator.In ICDEOA, reproduction operator of BFOA is replaced with probabilistic reposition operator to enhance the intensification and the diversification of the search space.ICDEOA was compared with state-of-the-art DE and non-DE variants on 7 numerical functions of the 2014 Congress on Evolutionary Computation (CEC 2014). Simulation results of CEC 2014 benchmark functions reveal that ICDEOA performs better than that of competitors in terms of the quality of the final solution for high dimensional problems. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/15573/1/PID174.pdf Yıldız, Y. Emre and Altun, Oğuz and Topal, A. Osman (2015) Improved chemotaxis differential evolution optimization algorithm. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Yıldız, Y. Emre
Altun, Oğuz
Topal, A. Osman
Improved chemotaxis differential evolution optimization algorithm
description The social foraging behavior of Escherichia coli has recently received great attention and it has been employed to solve complex search optimization problems.This paper presents a modified bacterial foraging optimization BFO algorithm, ICDEOA (Improved Chemotaxis Differential Evolution Optimization Algorithm), to cope with premature convergence of reproduction operator.In ICDEOA, reproduction operator of BFOA is replaced with probabilistic reposition operator to enhance the intensification and the diversification of the search space.ICDEOA was compared with state-of-the-art DE and non-DE variants on 7 numerical functions of the 2014 Congress on Evolutionary Computation (CEC 2014). Simulation results of CEC 2014 benchmark functions reveal that ICDEOA performs better than that of competitors in terms of the quality of the final solution for high dimensional problems.
format Conference or Workshop Item
author Yıldız, Y. Emre
Altun, Oğuz
Topal, A. Osman
author_facet Yıldız, Y. Emre
Altun, Oğuz
Topal, A. Osman
author_sort Yıldız, Y. Emre
title Improved chemotaxis differential evolution optimization algorithm
title_short Improved chemotaxis differential evolution optimization algorithm
title_full Improved chemotaxis differential evolution optimization algorithm
title_fullStr Improved chemotaxis differential evolution optimization algorithm
title_full_unstemmed Improved chemotaxis differential evolution optimization algorithm
title_sort improved chemotaxis differential evolution optimization algorithm
publishDate 2015
url http://repo.uum.edu.my/15573/1/PID174.pdf
http://repo.uum.edu.my/15573/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
_version_ 1644281752217190400
score 13.211869

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