A hybrid rank-based evolutionary algorithm applied to multi-mode resource-constrained project scheduling problem
We consider the multi-mode resource-constrained project scheduling problem (MRCPSP), where a task has different execution modes characterized by different resource requirements. Due to the nonrenewable resources and the multiple modes, this problem is NP-hard; therefore, we implement an evolutionary algorithm looking for a feasible solution minimizing the makespan. In this paper, we propose and investigate two new ideas. On the one hand, we transform the problem of single objective MRCPSP to bi-objective one to cope with the potential violation of nonrenewable resource constraints. Relaxing the latter constraints allows to visit a larger solution set and thus to simplify the evolutionary operators. On the other hand, we build the fitness function not on a priori grid of the bi-objective space, but on an adaptive one relying on clustering techniques. This proposed idea aims at more relevant fitness values. We show that a clustering-based fitness function can be an appealing feature in multi-objective evolutionary algorithms since it may promote diversity and avoid premature convergence of the algorithms. Clustering heuristics require certainly computation time, but they are still competitive with respect to classical niche formation multi-objective genetic algorithm.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Slowinski, Roman & Soniewicki, Boleslaw & Weglarz, Jan, 1994. "DSS for multiobjective project scheduling," European Journal of Operational Research, Elsevier, vol. 79(2), pages 220-229, December.
- Patterson, James H. & Brian Talbot, F. & Slowinski, Roman & Weglarz, Jan, 1990. "Computational experience with a backtracking algorithm for solving a general class of precedence and resource-constrained scheduling problems," European Journal of Operational Research, Elsevier, vol. 49(1), pages 68-79, November.
- Ranjbar, Mohammad & De Reyck, Bert & Kianfar, Fereydoon, 2009. "A hybrid scatter search for the discrete time/resource trade-off problem in project scheduling," European Journal of Operational Research, Elsevier, vol. 193(1), pages 35-48, February.
- Kolisch, Rainer, 1996. "Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation," European Journal of Operational Research, Elsevier, vol. 90(2), pages 320-333, April.
- Sönke Hartmann, 2001. "Project Scheduling with Multiple Modes: A Genetic Algorithm," Annals of Operations Research, Springer, vol. 102(1), pages 111-135, February.
- Boctor, Fayez F., 1996. "A new and efficient heuristic for scheduling projects with resource restrictions and multiple execution modes," European Journal of Operational Research, Elsevier, vol. 90(2), pages 349-361, April.
- F. Brian Talbot, 1982. "Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case," Management Science, INFORMS, vol. 28(10), pages 1197-1210, October.
- Joanna Józefowska & Marek Mika & Rafał Różycki & Grzegorz Waligóra & Jan Węglarz, 2001. "Simulated Annealing for Multi-Mode Resource-Constrained Project Scheduling," Annals of Operations Research, Springer, vol. 102(1), pages 137-155, February.
- Valls, Vicente & Ballestin, Francisco & Quintanilla, Sacramento, 2005. "Justification and RCPSP: A technique that pays," European Journal of Operational Research, Elsevier, vol. 165(2), pages 375-386, September.
- Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
- Debels, Dieter & De Reyck, Bert & Leus, Roel & Vanhoucke, Mario, 2006.
"A hybrid scatter search/electromagnetism meta-heuristic for project scheduling,"
European Journal of Operational Research,
Elsevier, vol. 169(2), pages 638-653, March.
- Dieter Debels & Bert de Reyck & Roel Leus & Mario Vanhoucke, 2003. "A hybrid scatter search / electromagnetism meta-heuristic for project scheduling," Vlerick Leuven Gent Management School Working Paper Series 2003-25, Vlerick Leuven Gent Management School.
- D. Debels & B. De Reyck & R. Leus & M. Vanhoucke, 2004. "A Hybrid Scatter Search / Electromagnetism Meta-Heuristic for Project Scheduling," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/237, Ghent University, Faculty of Economics and Business Administration.
- De Reyck, Bert & Herroelen, Willy, 1999. "The multi-mode resource-constrained project scheduling problem with generalized precedence relations," European Journal of Operational Research, Elsevier, vol. 119(2), pages 538-556, December.
- Bianco, L. & Dell'Olmo, P. & Grazia Speranza, M., 1998. "Heuristics for multimode scheduling problems with dedicated resources," European Journal of Operational Research, Elsevier, vol. 107(2), pages 260-271, June.
- Sprecher, Arno & Drexl, Andreas, 1998. "Multi-mode resource-constrained project scheduling by a simple, general and powerful sequencing algorithm," European Journal of Operational Research, Elsevier, vol. 107(2), pages 431-450, June. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:205:y:2010:i:1:p:31-41. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.