Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Genetic Algorithm (GA) belongs to elementary stochastic optimization algorithms inspired by evolution.It points out the ability of simple representations using bit strings to encode complicated structures and the power of simple transformations to reach the desired solution. Research shows that a new operator namely Selective Clonal Mutation (SCM) for better genetic solutions has been successfully developed so that faster convergence to the best desired solution could be obtained. This operator has produced the best fitness value as compared to the conventional genetic algorithm result within 50 generation, Selective Clonal Mutation (SCM) is able to produce the best fitness value at 0.01731 with optimum voltage 10.05V in solar tracking environment.

Original languageEnglish
Title of host publicationMaterial and Manufacturing Technology II
Pages456-461
Number of pages6
DOIs
Publication statusPublished - 01 Jan 2012
Event2011 2nd International Conference on Material and Manufacturing Technology, ICMMT 2011 - Xiamen, China
Duration: 08 Jul 201111 Jul 2011

Publication series

NameAdvanced Materials Research
Volume341-342
ISSN (Print)1022-6680

Other

Other2011 2nd International Conference on Material and Manufacturing Technology, ICMMT 2011
CountryChina
CityXiamen
Period08/07/1111/07/11

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this