iMOPSE: a library for bicriteria optimization in Multi-Skill Resource-Constrained Project Scheduling Problem

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Abstract

This paper presents a software library as a research and educational tool for Multi-Skill Resource-Constrained Scheduling Problem. The following useful tools have been implemented in Java: instance Generator, solution validator, solution visualizer and example solvers: Greedy algorithm and Genetic Algorithm. All tools are supported by iMOPSE dataset which consists of 36 instances and additional ’small’ 6 instances for educational purpose. In the paper, three test studies are described: (1) educational use of 6 ’small’ instances, (2) optimization of cost or duration of a schedule, and (3) simple bicritieria optimization of cost/duration of a final schedule. All described tools/examples are freely published on iMOPSE homepage.

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Myszkowski, P. B., Laszczyk, M., Nikulin, I., & Skowroński, M. (2019). iMOPSE: a library for bicriteria optimization in Multi-Skill Resource-Constrained Project Scheduling Problem. Soft Computing, 23(10), 3397–3410. https://doi.org/10.1007/s00500-017-2997-5

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