Ant Colony Optimization (ACO)
Solve dynamic job shop scheduling problem with ant colony optimization (ACO).
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Dynamic job shop scheduling problem is one form of a job shop scheduling problem with varying arrival time job or not concurrent. This problem can be represented in graph form, which is to seek the shortest path from start point to destination point. One solution that can be used is with the ant colony optimization algorithm. There are three method to input the job : xls file, matriks, and atrractive dialog.
Cite As
Dimas Aryo (2026). Ant Colony Optimization (ACO) (https://uk.mathworks.com/matlabcentral/fileexchange/32009-ant-colony-optimization-aco), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: job_shop_scheduling_Cross_over, Algoritmo de Colonia de Hormigas
General Information
- Version 1.0.0.0 (56.3 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
