A hybrid scatter search/electromagnetism meta-heuristic for project scheduling
AbstractIn the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the effectiveness of exact optimisation to relatively small instances. In this paper, we present a new meta-heuristic for this problem, able to provide near-optimal heuristic solutions. The procedure combines elements from scatter search, a generic population-based evolutionary search method, and a recently introduced heuristic method for the optimisation of unconstrained continuous functions based on an analogy with electromagnetism theory, hereafter referred to as the electromagnetism meta-heuristic. We present computational experiments on standard benchmark datasets, compare the results with current state-ofthe- art heuristics, and show that the procedure is capable of producing consistently good results for challenging instances of the resource-constrained project scheduling problem. We also demonstrate that the algorithm outperforms state-of-the-art existing heuristics.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 169 (2006)
Issue (Month): 2 (March)
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Web page: http://www.elsevier.com/locate/eor
Other versions of this item:
- 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.
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