Performance analysis of clustering based genetic algorithm
In this work, performance analysis of Clustering based Genetic Algorithm (CGA) proposed in the literature has been undertaken. The proposed CGA on which the performance analysis of this paper is based involve the use of two centroids based clustering technique as a new method of chromosomes sel...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/52194/ http://irep.iium.edu.my/52194/7/52194.pdf http://irep.iium.edu.my/52194/13/55021-Performance%20Analysis%20of%20Clustering%20Based%20Genetic%20Algorithm_SCOPUS.pdf |
| _version_ | 1848784014138146816 |
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| author | Najeeb, Athaur Rahman Aibinu, Abiodun Musa Nwohu, M. N. Salami, Momoh Jimoh Eyiomika Salau, H Bello |
| author_facet | Najeeb, Athaur Rahman Aibinu, Abiodun Musa Nwohu, M. N. Salami, Momoh Jimoh Eyiomika Salau, H Bello |
| author_sort | Najeeb, Athaur Rahman |
| building | IIUM Repository |
| collection | Online Access |
| description | In this work, performance analysis of Clustering based
Genetic Algorithm (CGA) proposed in the literature has been
undertaken. The proposed CGA on which the performance
analysis of this paper is based involve the use of two
centroids based clustering technique as a new method of
chromosomes selection at the reproduction stage in a typical
Genetic Algorithm. Population Control and Polygamy mating
techniques were introduced to improve the performance
of the algorithm. Results obtained from the determination
of optimal solutions to the : Sphere; Schwefel 2.4; Beale
and another known optimization functions carried out in
this work shows that the proposed CGA converges to global
solutions within few iterations and can also be adopted
for function optimization aside from the route optimization
problem previously reported in Literature. |
| first_indexed | 2025-11-14T16:30:30Z |
| format | Proceeding Paper |
| id | iium-52194 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:30:30Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-521942017-05-16T00:35:37Z http://irep.iium.edu.my/52194/ Performance analysis of clustering based genetic algorithm Najeeb, Athaur Rahman Aibinu, Abiodun Musa Nwohu, M. N. Salami, Momoh Jimoh Eyiomika Salau, H Bello T10.5 Communication of technical information In this work, performance analysis of Clustering based Genetic Algorithm (CGA) proposed in the literature has been undertaken. The proposed CGA on which the performance analysis of this paper is based involve the use of two centroids based clustering technique as a new method of chromosomes selection at the reproduction stage in a typical Genetic Algorithm. Population Control and Polygamy mating techniques were introduced to improve the performance of the algorithm. Results obtained from the determination of optimal solutions to the : Sphere; Schwefel 2.4; Beale and another known optimization functions carried out in this work shows that the proposed CGA converges to global solutions within few iterations and can also be adopted for function optimization aside from the route optimization problem previously reported in Literature. IEEE 2016 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/52194/7/52194.pdf application/pdf en http://irep.iium.edu.my/52194/13/55021-Performance%20Analysis%20of%20Clustering%20Based%20Genetic%20Algorithm_SCOPUS.pdf Najeeb, Athaur Rahman and Aibinu, Abiodun Musa and Nwohu, M. N. and Salami, Momoh Jimoh Eyiomika and Salau, H Bello (2016) Performance analysis of clustering based genetic algorithm. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7808334/ 10.1109/ICCCE.2016.76 |
| spellingShingle | T10.5 Communication of technical information Najeeb, Athaur Rahman Aibinu, Abiodun Musa Nwohu, M. N. Salami, Momoh Jimoh Eyiomika Salau, H Bello Performance analysis of clustering based genetic algorithm |
| title | Performance analysis of clustering based genetic
algorithm |
| title_full | Performance analysis of clustering based genetic
algorithm |
| title_fullStr | Performance analysis of clustering based genetic
algorithm |
| title_full_unstemmed | Performance analysis of clustering based genetic
algorithm |
| title_short | Performance analysis of clustering based genetic
algorithm |
| title_sort | performance analysis of clustering based genetic
algorithm |
| topic | T10.5 Communication of technical information |
| url | http://irep.iium.edu.my/52194/ http://irep.iium.edu.my/52194/ http://irep.iium.edu.my/52194/ http://irep.iium.edu.my/52194/7/52194.pdf http://irep.iium.edu.my/52194/13/55021-Performance%20Analysis%20of%20Clustering%20Based%20Genetic%20Algorithm_SCOPUS.pdf |