Enhanced genetic algorithm applied for global optimization
Conventional genetic algorithm (GA) has several drawbacks such as premature convergence and incapable of fine tuning around potential region. Thus, new enhanced GA that focuses on new search, crossover and elitism strategy is proposed in this study. It involves solution enhancement phase by performi...
| Published in: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Springer Verlag
2015
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951765269&doi=10.1007%2f978-3-319-26535-3_23&partnerID=40&md5=b2fb4b6d57c35110907742739198c385 |