A review of crossover methods and problem representation of genetic algorithm in recent engineering applications
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Charles Darwin's proposed principles of natural genetics and natural selection theories. The algorithm operates on three simple genetic operators called selection, crossover and mutation. GA has many...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SERSC
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24750/2/CORET.PDF http://eprints.utem.edu.my/id/eprint/24750/ http://sersc.org/journals/index.php/IJAST/article/view/8903/4937 |
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