ACS-TS: Train scheduling using ant colony system.
Ghoseiri, Keivan, Morshedsolouk, Fahimeh (2006)
Journal of Applied Mathematics and Decision Sciences
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Ghoseiri, Keivan, Morshedsolouk, Fahimeh (2006)
Journal of Applied Mathematics and Decision Sciences
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Edmund Burke, Yuri Bykov, James Newall, Sanja Petrović (2003)
The Yugoslav Journal of Operations Research
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Nacima Labadi, Christian Prins, Mohamed Reghioui (2008)
RAIRO - Operations Research
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This article deals with the vehicle routing problem with time windows (VRPTW). This problem consists in determining a least-cost set of trips to serve customers during specific time windows. The proposed solution method is a memetic algorithm (MA), a genetic algorithm hybridised with a local search. Contrary to most papers on the VRPTW, which minimize first the number of vehicles, our method is also able to minimize the total distance travelled. The results on 56 classical instances...
Chen, Hanning, Zhu, Yunlong, Hu, Kunyuan (2011)
Abstract and Applied Analysis
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Ivan Stanimirović, Marko Petković, Predrag Stanimirović, Miroslav Ćirić (2009)
The Yugoslav Journal of Operations Research
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Christos D. Tarantilis, George Ioannou, Chris T. Kiranoudis, Gregory P. Prastacos (2004)
RAIRO - Operations Research - Recherche Opérationnelle
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In this paper we consider the operational planning problem of physical distribution via a fleet of hired vehicles, for which the travelling cost is solely a function of the sequence of locations visited within all open delivery routes, while vehicle fixed cost is inexistent. The problem is a special class of vehicle routing and is encountered in the literature as the Open Vehicle Routing Problem (OVRP), since vehicles are not required to return to the depot. The goal is to distribute...
Oscar Cordón, Francisco Herrera, Thomas Stützle (2002)
Mathware and Soft Computing
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Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO algorithms to challenging combinatorial problems. We present some of the algorithms that were developed under this framework, give an overview of current applications, and analyze the relationship...
Hadda Cherroun, Alain Darte, Paul Feautrier (2007)
RAIRO - Operations Research
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The recourse to operation research solutions has strongly increased the performances of scheduling task in the High-Level Synthesis (called hardware compilation). Scheduling a whole program is not possible as too many constraints and objectives interact. We decompose high-level scheduling in three steps. Step 1: Coarse-grain scheduling tries to exploit parallelism and locality of the whole program (in particular in loops, possibly imperfectly nested) with a rough view of the target...