Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
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 ne...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833411384199610368 |
|---|---|
| author | Fam D.F. Koh S.P. Tiong S.K. Chong K.H. |
| author2 | 43361142100 |
| author_facet | 43361142100 Fam D.F. Koh S.P. Tiong S.K. Chong K.H. |
| author_sort | Fam D.F. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. � (2012) Trans Tech Publications, Switzerland. |
| format | Conference Paper |
| id | my.uniten.dspace-30411 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-304112024-04-18T10:55:32Z Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment Fam D.F. Koh S.P. Tiong S.K. Chong K.H. 43361142100 22951210700 15128307800 36994481200 Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms 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. � (2012) Trans Tech Publications, Switzerland. Final 2023-12-29T07:47:33Z 2023-12-29T07:47:33Z 2012 Conference Paper 10.4028/www.scientific.net/AMR.341-342.456 2-s2.0-80053976632 https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053976632&doi=10.4028%2fwww.scientific.net%2fAMR.341-342.456&partnerID=40&md5=8ae315dcbb5b194e9ec74c646ead2874 https://irepository.uniten.edu.my/handle/123456789/30411 341-342 456 461 Scopus |
| spellingShingle | Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms Fam D.F. Koh S.P. Tiong S.K. Chong K.H. Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title | Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title_full | Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title_fullStr | Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title_full_unstemmed | Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title_short | Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment |
| title_sort | comparative analysis of selective clonal mutation with conventional ga operators in solar tracking environment |
| topic | Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms |
| url_provider | http://dspace.uniten.edu.my/ |