Abstract
The weighted earliness tardiness parallel machine scheduling problem is NP hard. It is herein approximately solved using a decentralized multi-agent system (MAS). MAS acts as a moderator of two types of agents: free jobs, and groups of jobs assigned to machines. MAS yields good solutions’ quality in reduced run times as evidenced by the computational results. Most importantly, it can be easily adapted to similar problems.
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© 2014 Springer International Publishing Switzerland
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Polyakovskiy, S., M’ Hallah, R. (2014). Minimizing Weighted Earliness and Tardiness on Parallel Machines Using a Multi-Agent System. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_62
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DOI: https://doi.org/10.1007/978-3-319-00795-3_62
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