Solving Combinatorial Optimization Problems Using Genetic Algorithms and Ant Colony Optimization

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Summary

An approach that utilizes a genetic algorithm and discrete event simulation to solve the physician scheduling problem in a hospital is proposed and is tested on real world datasets for physician schedules.

Type
article
Published
2012-01-01
Cited by
15
References
94

Keywords

Schedule, Ant colony optimization algorithms, Scheduling (production processes), Computer science, Genetic algorithm

References

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