Improved combined mutation clonal selection algorithm

In this paper, the performance of a clonal selection optimization algorithm implementing a combined mutation strategy using Gaussian and Cauchy mutations was further improved with the addition of two new operators, namely the Cell Repair Operator (CPO) and Dynamic Mutation Size Operator (DMSO). The...

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Main Authors: Paw J.K.S., Hen C.K., Yan K.W., Ann Y.S.
Other Authors: 22951210700
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-295432023-12-28T14:30:27Z Improved combined mutation clonal selection algorithm Paw J.K.S. Hen C.K. Yan K.W. Ann Y.S. 22951210700 36994481200 55598904800 55598593300 Clonal Selection Algorithm Exploration and Exploitation Fast Convergence Clone cells Cauchy mutation Cell repair Clonal selection Clonal selection algorithms Dynamic mutation Exploration and exploitation Fast convergence Gaussians Multi-modal Mutation strategy Optimization algorithms Test functions Unimodal Evolutionary algorithms In this paper, the performance of a clonal selection optimization algorithm implementing a combined mutation strategy using Gaussian and Cauchy mutations was further improved with the addition of two new operators, namely the Cell Repair Operator (CPO) and Dynamic Mutation Size Operator (DMSO). The new and improved algorithm was tested using various unimodal and multimodal test functions to illustrate the improvements of the algorithm. The test results indicate that the added operators have significantly improved the performance of the algorithm in terms of accuracy and performance. � 2012 IEEE. Final 2023-12-28T06:30:27Z 2023-12-28T06:30:27Z 2012 Conference paper 10.1109/STUDENT.2012.6408402 2-s2.0-84873963149 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873963149&doi=10.1109%2fSTUDENT.2012.6408402&partnerID=40&md5=8f1aa100229585f25875ffd6b8776553 https://irepository.uniten.edu.my/handle/123456789/29543 6408402 192 196 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Clonal Selection Algorithm
Exploration and Exploitation
Fast Convergence
Clone cells
Cauchy mutation
Cell repair
Clonal selection
Clonal selection algorithms
Dynamic mutation
Exploration and exploitation
Fast convergence
Gaussians
Multi-modal
Mutation strategy
Optimization algorithms
Test functions
Unimodal
Evolutionary algorithms
spellingShingle Clonal Selection Algorithm
Exploration and Exploitation
Fast Convergence
Clone cells
Cauchy mutation
Cell repair
Clonal selection
Clonal selection algorithms
Dynamic mutation
Exploration and exploitation
Fast convergence
Gaussians
Multi-modal
Mutation strategy
Optimization algorithms
Test functions
Unimodal
Evolutionary algorithms
Paw J.K.S.
Hen C.K.
Yan K.W.
Ann Y.S.
Improved combined mutation clonal selection algorithm
description In this paper, the performance of a clonal selection optimization algorithm implementing a combined mutation strategy using Gaussian and Cauchy mutations was further improved with the addition of two new operators, namely the Cell Repair Operator (CPO) and Dynamic Mutation Size Operator (DMSO). The new and improved algorithm was tested using various unimodal and multimodal test functions to illustrate the improvements of the algorithm. The test results indicate that the added operators have significantly improved the performance of the algorithm in terms of accuracy and performance. � 2012 IEEE.
author2 22951210700
author_facet 22951210700
Paw J.K.S.
Hen C.K.
Yan K.W.
Ann Y.S.
format Conference paper
author Paw J.K.S.
Hen C.K.
Yan K.W.
Ann Y.S.
author_sort Paw J.K.S.
title Improved combined mutation clonal selection algorithm
title_short Improved combined mutation clonal selection algorithm
title_full Improved combined mutation clonal selection algorithm
title_fullStr Improved combined mutation clonal selection algorithm
title_full_unstemmed Improved combined mutation clonal selection algorithm
title_sort improved combined mutation clonal selection algorithm
publishDate 2023
_version_ 1806425642480173056
score 13.214268