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Combined Heuristic Approach to Resource-Constrained Project Scheduling Problem

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Machine Learning and Systems Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 68))

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Abstract

This chapter deals with the resource-constrained project scheduling problem that belongs to NP-hard optimisation problems. There are many different heuristic strategies how to shift activities in time when resource requirements exceed their available amounts. We propose a transformation of the problem to a sequence of simpler instances of (multi)knapsack problems that do not use traditionally predefined activity priorities and enable to maximise limited resources in all time intervals given by start or end of an activity and therefore to reduce the total time.

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Correspondence to Miloš Šeda .

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Šeda, M., Matoušek, R., Ošmera, P., Šandera, Č., Weisser, R. (2010). Combined Heuristic Approach to Resource-Constrained Project Scheduling Problem. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_4

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  • DOI: https://doi.org/10.1007/978-90-481-9419-3_4

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  • Print ISBN: 978-90-481-9418-6

  • Online ISBN: 978-90-481-9419-3

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