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...

Full description

Bibliographic Details
Main Authors:	Najeeb, Athaur Rahman, Aibinu, Abiodun Musa, Nwohu, M. N., Salami, Momoh Jimoh Eyiomika, Salau, H Bello
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	T10.5 Communication of technical information
Online Access:	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

id	iium-52194
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T10.5 Communication of technical information
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
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.
format	Conference or Workshop Item
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
title	Performance analysis of clustering based genetic algorithm
title_short	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_sort	performance analysis of clustering based genetic algorithm
publisher	IEEE
publishDate	2016
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
first_indexed	2023-09-18T21:13:59Z
last_indexed	2023-09-18T21:13:59Z
_version_	1777411439651192832

Performance analysis of clustering based genetic algorithm

Similar Items