An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances |
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| Authors: | Vincent Van Peteghem Mario Vanhoucke |
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| Affiliation: | 1. EDHEC Business School, 24 Avenue Gustave Delory, 59057 Roubaix, France;2. Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, 9000 Gent, Belgium;3. Technology and Operations Management Area, Vlerick Business School, Reep 1, 9000 Gent, Belgium;4. Department of Management Science and Innovation, University College London, Gower Street, London WC1E 6BT, United Kingdom |
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| Abstract: | ![]()
In this paper, an overview is presented of the existing metaheuristic solution procedures to solve the multi-mode resource-constrained-project scheduling problem, in which multiple execution modes are available for each of the activities of the project. A fair comparison is made between the different metaheuristic algorithms on the existing benchmark datasets and on a newly generated dataset. Computational results are provided and recommendations for future research are formulated. |
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| Keywords: | Project scheduling Multi-mode Metaheuristics |
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