A novel network-based SIS framework for improved GA performance
Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. However, they often suffer from premature convergence, reduced diversity, as well as imbalanced exploration and exploitation. To address these challenges, this work introduces SIS-...
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| Format: | masterThesis |
| Published: |
2025
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| Online Access: | http://hdl.handle.net/10725/17282 https://doi.org/10.26756/th.2023.838 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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