Displaying similar documents to “Modular production line optimization: The exPLOre architecture.”

A threshold accepting approach to the open vehicle routing problem

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...

A memetic algorithm for the vehicle routing problem with time windows

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...

MOPP-I: an optimization package for multipurpose batch operations.

M. Lázaro, Antonio Espuña Camarasa, Lluís Puigjaner Corbella (1989)

Qüestiió

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A number of algorithms have been developed -including enumeration of feasible production sequences, alternative task selection and the generation of alternative production lines- to determine the optimal sequence in which products and by-products should be produced and the times at which the various production operations for each product should be carried out to meet a given product demand pattern, taking into account the available equipment, storage costs, stopover penalties and other...

Solving the simple plant location problem by genetic algorithm

Jozef Kratica, Dušan Tošic, Vladimir Filipović, Ivana Ljubić (2001)

RAIRO - Operations Research - Recherche Opérationnelle

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The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.