A scatter search procedure for maximizing the net present value of a project under renewable resource constraints
In this paper, we present a meta-heuristic algorithm for the well-known resource-constrained project scheduling problem with discounted cash flows. This optimization procedure maximizes the net present value of project subject to the precedence and renewable resource constraints. The problem is known to be NP-hard. We investigate the use of a enhanced bi-directional generation scheme and a recursive forward/backward improvement method and embed them in a meta-heuristic scatter search framework. We generate a large dataset of project instances under a controlled design and report detailed computational results. The solutions and project instances can be downloaded from a website in order to facilitate comparison with future research attempts.
|Date of creation:||04 Oct 2006|
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- Robert A. Russell, 1986. "A Comparison of Heuristics for Scheduling Projects with Cash Flows and Resource Restrictions," Management Science, INFORMS, vol. 32(10), pages 1291-1300, October.
- Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints," Management Science, INFORMS, vol. 47(8), pages 1113-1121, August.
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- Marti, Rafael & Laguna, Manuel & Glover, Fred, 2006. "Principles of scatter search," European Journal of Operational Research, Elsevier, vol. 169(2), pages 359-372, March.
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- Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
- Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
- Padman, Rema & Smith-Daniels, Dwight E., 1993. "Early-tardy cost trade-offs in resource constrained projects with cash flows: An optimization-guided heuristic approach," European Journal of Operational Research, Elsevier, vol. 64(2), pages 295-311, January.
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