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Performance analysis of clustering based genetic algorithm

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 3800/52194
Uncontrolled Keywords: Evolutionary Algorithm; Function Optimization; Genetic Algorithm; Optimization
Subjects: T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Library & Information Science
Kulliyyah of Information and Communication Technology > Department of Library & Information Science
Depositing User: Br Athaur Rahman Najeeb
Date Deposited: 28 Feb 2017 14:32
Last Modified: 16 May 2017 08:35
URI: http://irep.iium.edu.my/id/eprint/52194

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