307 research outputs found
A GRASPxELS with Depth First Search Split Procedure for the HVRP
Split procedures have been proved to be efficient within global framework optimization for routing problems by splitting giant tour into trips. This is done by generating optimal shortest path within an auxiliary graph built from the giant tour. An efficient application has been introduced for the first time by Lacomme et al. (2001) within a metaheuristic approach to solve the Capacitated Arc Routing Problem (CARP) and second for the Vehicle Routing Problem (VRP) by Prins (2004). In a further step, the Split procedure embedded in metaheuristics has been extended to address more complex routing problems thanks to a heuristic splitting of the giant tour using the generation of labels on the nodes of the auxiliary graph linked to resource management. Lately, Duhamel et al. (2010) defined a new Split family based on a depth first search approach during labels generation in graph. The efficiency of the new split method has been first evaluated in location routing problem with a GRASP metaheuristic. Duhamel et al. (2010) provided full numerical experiments on this topic
A GRASPxELS with Depth First Search Split Procedure for the HVRP
Split procedures have been proved to be efficient within global framework
optimization for routing problems by splitting giant tour into trips. This is
done by generating optimal shortest path within an auxiliary graph built from
the giant tour. An efficient application has been introduced for the first time
by Lacomme et al. (2001) within a metaheuristic approach to solve the
Capacitated Arc Routing Problem (CARP) and second for the Vehicle Routing
Problem (VRP) by Prins (2004). In a further step, the Split procedure embedded
in metaheuristics has been extended to address more complex routing problems
thanks to a heuristic splitting of the giant tour using the generation of
labels on the nodes of the auxiliary graph linked to resource management.
Lately, Duhamel et al. (2010) defined a new Split family based on a depth first
search approach during labels generation in graph. The efficiency of the new
split method has been first evaluated in location routing problem with a GRASP
metaheuristic. Duhamel et al. (2010) provided full numerical experiments on
this topic
Strategic and operational decision-making in expanding supply chains for LNG as a fuel
The European Union aims for a 40% reduction in greenhouse gas emissions by 2030, compared to 1990 levels, and recognizes the opportunities of Liquefied Natural Gas (LNG) as an alternative fuel for transportation to reach this goal. The lack of a mature supply chain for LNG as a fuel results in a need to invest in new (satellite) terminals, bunker barges and tanker trucks. This network design problem can be defined as a Two-Echelon Capacitated Location Routing Problem with Split Deliveries (2E-CLRPSP). An important feature of this problem is that direct deliveries are allowed from terminals, which makes the problem much harder to solve than the existing location routing literature suggests. In this paper, we improve the performance of a hybrid exact algorithm and apply our algorithm to a real world network design problem related to the expansion of the European supply chain for LNG as a fuel. We show that satellite terminals and bunker barges become an interesting option when demand for LNG grows and occurs further away from the import terminal. In those situations, the large investments associated with LNG satellites and bunker barges are offset by reductions in operational costs of the LNG tanker trucks
Research trends in combinatorial optimization
Acknowledgments This work has been partially funded by the Spanish Ministry of Science, Innovation, and Universities through the project COGDRIVE (DPI2017-86915-C3-3-R). In this context, we would also like to thank the Karlsruhe Institute of Technology. Open access funding enabled and organized by Projekt DEAL.Peer reviewedPublisher PD
Solving the capacitated location-routing problem
International audienceThis is a summary of the main results presented in the author’s Ph.D thesis, available at http://prodhonc.free.fr/homepage. This thesis, written in French, was supervised by Christian Prins and Roberto Wolfler-Calvo, and defended on 16 October 2006 at the Université de Technologie de Troyes. Several new approaches are proposed to solve the capacitated location-routing problem (CLRP): heuristic, cooperative and exact methods. Their performances are tested on various kinds of instances with capacitated vehicles and capacitated or uncapacitated depots
A Metaheuristic for the Periodic Location-Routing Problem
International audienceThe well-known Vehicle Routing Problem (VRP) has been generalized toward tactical or strategic decision levels of companies but not both. The tactical extension or Periodic VRP (PVRP) plans trips over a multi-period horizon, subject to frequency constraints. The strategic extension or Location-Routing Problem (LRP) tackles location and routing decisions simultaneously as in most distribution systems interdependence between these decisions leads to low-quality solutions if depots are located first, regardless the future routes. Our goal is to combine for the first time the PVRP and LRP into the Periodic LRP or PLRP. A metaheuristic is proposed to solve large size instances of the PLRP. It is based on our Randomized Extended Clarke and Wright Algorithm (RECWA) for the LRP and it tries to take into consideration several decision levels when making a choice during the construction of a solution. The method is evaluated on three sets of instances and results are promising. Solutions are compared to the literature on particular cases such as one-day horizon (LRP) or one available depot (PVRP)
Histories of Photography from the Struggles for Independence: practices, circulations and aesthetics
It's a well-known fact that the history of photography as a discipline has for the most part been constructed as that of "Western" photography, more specifically that of Europe and the United States. Between the introduction of so-called "extra-Western" photographers on the contemporary art market since the 1990s and the numerous works on the history of the medium during colonial periods, there is still a lack of information on the history of photography from the liberation and independence struggles onwards, from a global and transnational perspective, across all geographical zones. The aim of this colloquium is to highlight the histories of photography generated during the processes of decolonization, while rethinking methodological and aesthetic approaches to the medium that are still too Western-centric.Constat connu : l’histoire de la photographie comme discipline s'est majoritairement construite comme étant celle de la photographie « occidentale », plus précisément celle de l’Europe et des États-Unis. Entre l’introduction de photographes que l’on a pu qualifier d’« extra-occidentaux » sur le marché de l’art contemporain depuis les années 1990 et les nombreux travaux sur les histoires du médium pendant les périodes coloniales, il persiste un manque sur les histoires de la photographie à partir des luttes de libération et des indépendances dans une perspective globale et transnationale, toutes zones géographiques confondues. L’objectif de ce colloque est de valoriser des histoires de la photographie engendrées pendant les processus de décolonisations tout en repensant les approches méthodologiques et esthétiques du médium encore trop occidentalo-centrées.
A hybrid evolutionary algorithm for the periodic location-routing problem
International audienceThe well-known vehicle routing problem (VRP) has been studied in depth over the last decades. Nowadays, generalizations of VRP have been developed for tactical or strategic decision levels of companies but not both. The tactical extension or periodic VRP (PVRP) plans a set of trips over a multiperiod horizon, subject to frequency constraints. The strategic extension is motivated by interdependent depot location and routing decisions in most distribution systems. Low-quality solutions are obtained if depots are located first, regardless of the future routes. In the location-routing problem (LRP), location and routing decisions are tackled simultaneously. Here for the first time, except for some conference papers, the goal is to combine the PVRP and LRP into an even more realistic problem covering all decision levels: the periodic LRP or PLRP. A hybrid evolutionary algorithm is proposed to solve large size instances of the PLRP. First, an individual representing an assignment of customers to combinations of visit days is randomly generated. The evolution operates through an Evolutionary Local Search (ELS) on visit day assignments. The algorithm is hybridized with a heuristic based on the Randomized Extended Clarke and Wright Algorithm (RECWA) to create feasible solutions and stops when a given number of iterations is reached. The method is evaluated over three sets of instances, and solutions are compared to the literature on particular cases such as one-day horizon (LRP) or one depot (PVRP). This metaheuristic outperforms the previous methods for the PLRP
An evolutionary algorithm for the periodic location-routing problem
International audienc
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