Raghavendra, B. V. and Pai, Dayananda K. (2023) Influence of Crossover Probability on Performance of Genetic Algorithm in Scheduling of Parallel Machines. In: Techniques and Innovation in Engineering Research and Technology Vol. 5. B P International, pp. 27-36. ISBN 978-81-960791-9-2
Full text not available from this repository.Abstract
In this chapter, an investigation of the influence of Crossover Probability on Genetic Algorithm (GA) performance for the bi-criteria objective function to obtain the best solution in a reasonable time in scheduling of parallel machines is studied. A heuristic model for reducing the workload imbalance on the machines considering work-in-process material is developed. The simulation on a proposed genetic algorithm was carried out with a crossover probability of 0.4 to 0.95 (with a step of 0.05) and 0.97, and it was discovered that the results were converging for the crossover probability of 0.6 with a computing time of 3.41 seconds. The suggested algorithm assists the decision maker in analysing the objective function with the computational time.
| Item Type: | Book Section |
|---|---|
| Subjects: | Journal Eprints > Engineering |
| Depositing User: | Managing Editor |
| Date Deposited: | 03 Oct 2023 12:22 |
| Last Modified: | 03 Oct 2023 12:22 |
| URI: | http://repository.journal4submission.com/id/eprint/2721 |
Actions (login required)
- View Item