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A hybrid scatter search / electromagnetism meta-heuristic for project scheduling

Dieter Debels, Bert de Reyck, Roel Leus and Mario Vanhoucke

Vlerick Leuven Gent Management School Working Paper Series from Vlerick Leuven Gent Management School

Abstract: In 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-of-the-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.

Keywords: project scheduling; heuristics; scatter search; electromagnetism (search for similar items in EconPapers)
Pages: 30 pages
Date: 2003-09-24
New Economics Papers: this item is included in nep-cmp
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Related works:
Journal Article: A hybrid scatter search/electromagnetism meta-heuristic for project scheduling (2006) Downloads
Working Paper: A Hybrid Scatter Search / Electromagnetism Meta-Heuristic for Project Scheduling (2004) Downloads
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