Benchmark Studies on Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polynomial Mutation Operator (PMO)

Mahaletchumi, Morgan and Nor Rul Hasma, Abdullah and M. H., Sulaiman and Mahfuzah, Mustafa and Rosdiyana, Samad (2015) Benchmark Studies on Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polynomial Mutation Operator (PMO). In: International Conference on Advanced Mechanics, Power and Energy 2015 (AMPE2015) , 5 December 2015 , Hotel Holiday Inn Kuala Lumpur, Glenmarie, Shah Alam, Malaysia. . (Unpublished)

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Abstract

The performance of a Multi-Objective Evolutionary Programming (MOEP) is significantly dependent on the parameter setting of the operator. These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. The intention of this paper is to create adaptive controls for each parameter existing in MOEP where it is able to improve even more the performance of the evolutionary programming. Hence, in this paper, an adaptive mutation operator based multi-objective evolutionary programming is presented. A computer program was written in MATLAB. At the end, the result was compared with the Polynomial Mutation Operator.

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Multi-Objective Evolutionary Programing, Adaptive Mutation Operator, Polynomial Mutation Operator
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	01 Mar 2016 03:35
Last Modified:	11 Apr 2018 01:30
URI:	http://umpir.ump.edu.my/id/eprint/11913
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