Salman, Rudi and Irfandi, Irfandi and Suprapto, Suprapto and Rahman, Sayuti and Herdianto, Herdianto (2025) The Impact of Mutation Probability on Genetic Algorithm Performance in Optimizing Course Scheduling. In: Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia.
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Abstract
Computation time plays a crucial role in determining the speed of the genetic algorithm (GA). Critical parameters such as population size, crossover probability (Pc), mutation probability (Pm), and selection significantly influence the time required for the GA to find the optimal solution. Among the
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:22 |
| Last Modified: | 16 Apr 2026 21:48 |
| URI: | http://eprints.eai.eu/id/eprint/52227 |
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