Hybridisation of Bees Algorithm for continuous optimisation
This research introduces two different methods that are Levy Flight and Hooke and Jeeves to the Bees Algorithm with the aim of improving the convergence speed and its robustness. Both methods are incorporated to the Bees Algorithm at neighbourhood search of the elite bees since that particular locat...
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ndltd-bl.uk-oai-ethos.bl.uk-7530032019-04-03T06:51:15ZHybridisation of Bees Algorithm for continuous optimisationChe Zainal Abidin, Nik Mohd Farid2018This research introduces two different methods that are Levy Flight and Hooke and Jeeves to the Bees Algorithm with the aim of improving the convergence speed and its robustness. Both methods are incorporated to the Bees Algorithm at neighbourhood search of the elite bees since that particular locations are the most promising area during optimisation process. Each Bees Algorithm and the newly incorporated method with thirteen different parameter settings are subjected to fifteen different benchmark test functions. These benchmark test functions are represented with different characteristics in terms of its differentiability, separability, scaleability, and modality. Bees Algorithm with Levy-flight method incorporated to the local search performs excellent result for 13 out of 15 functions against standard Bees Algorithm in terms of its success rate and convergence speed in which it is validated by the statistical T test. As a matter of fact, the new method indicates better robustness for 13 functions in terms of achieving good result for solving different types of optimisation problems. For the Bees Algorithm with Hooke and Jeeves method, the new approach reaches a relatively better performance compared with standard Bees Algorithm in which one parameter excels at reaching optimum solution for most of the test functions.TJ Mechanical engineering and machineryUniversity of Birminghamhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753003http://etheses.bham.ac.uk//id/eprint/8240/Electronic Thesis or Dissertation |
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TJ Mechanical engineering and machinery |
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TJ Mechanical engineering and machinery Che Zainal Abidin, Nik Mohd Farid Hybridisation of Bees Algorithm for continuous optimisation |
description |
This research introduces two different methods that are Levy Flight and Hooke and Jeeves to the Bees Algorithm with the aim of improving the convergence speed and its robustness. Both methods are incorporated to the Bees Algorithm at neighbourhood search of the elite bees since that particular locations are the most promising area during optimisation process. Each Bees Algorithm and the newly incorporated method with thirteen different parameter settings are subjected to fifteen different benchmark test functions. These benchmark test functions are represented with different characteristics in terms of its differentiability, separability, scaleability, and modality. Bees Algorithm with Levy-flight method incorporated to the local search performs excellent result for 13 out of 15 functions against standard Bees Algorithm in terms of its success rate and convergence speed in which it is validated by the statistical T test. As a matter of fact, the new method indicates better robustness for 13 functions in terms of achieving good result for solving different types of optimisation problems. For the Bees Algorithm with Hooke and Jeeves method, the new approach reaches a relatively better performance compared with standard Bees Algorithm in which one parameter excels at reaching optimum solution for most of the test functions. |
author |
Che Zainal Abidin, Nik Mohd Farid |
author_facet |
Che Zainal Abidin, Nik Mohd Farid |
author_sort |
Che Zainal Abidin, Nik Mohd Farid |
title |
Hybridisation of Bees Algorithm for continuous optimisation |
title_short |
Hybridisation of Bees Algorithm for continuous optimisation |
title_full |
Hybridisation of Bees Algorithm for continuous optimisation |
title_fullStr |
Hybridisation of Bees Algorithm for continuous optimisation |
title_full_unstemmed |
Hybridisation of Bees Algorithm for continuous optimisation |
title_sort |
hybridisation of bees algorithm for continuous optimisation |
publisher |
University of Birmingham |
publishDate |
2018 |
url |
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.753003 |
work_keys_str_mv |
AT chezainalabidinnikmohdfarid hybridisationofbeesalgorithmforcontinuousoptimisation |
_version_ |
1719015226320355328 |