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Local Search with Discrete Event Simulation for the Job Shop Scheduling Problem

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Service Orientation in Holonic and Multi-Agent Manufacturing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 762))

Abstract

Multi-start local search heuristics Remove and Reinsert that is based on a simple schedule constructing heuristics is tested on several benchmark instances of the job shop scheduling problem. The heuristics provides very good near optimal solutions within reasonably short computation time. The implementation within a plant simulation software is compared to the build-in genetic algorithm.

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Acknowledgements

This research work has been funded by the GOSTOP program, contract no. C3330-16-529000, co-financed by Slovenia and the EU under ERDF. The second author was supported in part by ARRS, the Research Agency of Slovenia.

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Correspondence to Hugo Zupan .

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Zupan, H., Žerovnik, J., Herakovič, N. (2018). Local Search with Discrete Event Simulation for the Job Shop Scheduling Problem. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_28

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  • DOI: https://doi.org/10.1007/978-3-319-73751-5_28

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