Salman, Rudi and Irfandi, Irfandi and Suprapto, Suprapto and Rahman, Sayuti and Herdianto, Herdianto (2024) Analysis of Crossover Probability on Genetic Algorithm Performance in Optimizing Course Scheduling in the Unimed Electrical Engineering Study Program. In: Proceedings of the 5th International Conference on Innovation in Education, Science, and Culture, ICIESC 2023, 24 October 2023, Medan, Indonesia.
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Abstract
Genetic Algorithm (GA) speed is determined by computation time. Computing time in GA for finding the optimum value is strongly influenced by the following parameters: population size, Crossover Probability (Pc), Mutation Probability (Pm), and the selected selection method. Determining the appropriat
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:11 |
| Last Modified: | 17 Apr 2026 00:30 |
| URI: | http://eprints.eai.eu/id/eprint/47243 |
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