The goal of this work is to show that the POPMUSIC methodology can be applied to large loca-tion routing problems (LRP). The size of instances currently considered in the litterature is limited to few dozens of customers and few depots, even for approaches based on metaheuristics. The size of practical problem can be much larger, typically several thousands of customers and hundreds of depots. This implies that the methods developped up to now cannot be used directly for practical problems. However, these methods can be embedded in POPMUSIC allowing much larger instances to be treated. Indeed, in POPMUSIC methodology, the solution improvement with a basic meta-heuristic such as tabu search is not the part that contributes most to the algori...
As pointed out by Nagy and Salhi in their recent survey [2], many variants of the location-routing p...
International audienceThis paper addresses the capacitated location-routing problem (CLRP), raised b...
A key point for implementing a fast and efficient local search is to use a neighbourhood of limited ...
The goal of this work is to show that the POPMUSIC methodology can be applied to large location rout...
POPMUSIC—partial optimization metaheuristic under special intensification conditions—is a template f...
This paper presents a heuristic approach based on the POPMUSIC framework for a large-scale Multi Dep...
This paper presents a heuristic approach based on the POPMUSIC frame-work for a large scale Multi De...
This work proposes a partial optimization metaheuristic under special intensification conditions (PO...
POPMUSIC— Partial OPtimization Metaheuristic Under Special Intensification Conditions — is a templat...
International audienceThis work proposes a partial optimization metaheuristic under special intensif...
In this paper we consider a large scale Multi Depot Vehicle Routing Problem with Time Windows (MDVRP...
We propose a large neighborhood search (LNS) algorithm to solve the periodic location routing proble...
This paper proposes a new hybrid metaheuristic algorithm that is composed of the adaptive large neig...
International audienceThe design of distribution systems raises hard combinatorial optimization prob...
This paper proposes a new heuristic algorithm for the Capacitated Location-Routing Problem (CLRP), c...
As pointed out by Nagy and Salhi in their recent survey [2], many variants of the location-routing p...
International audienceThis paper addresses the capacitated location-routing problem (CLRP), raised b...
A key point for implementing a fast and efficient local search is to use a neighbourhood of limited ...
The goal of this work is to show that the POPMUSIC methodology can be applied to large location rout...
POPMUSIC—partial optimization metaheuristic under special intensification conditions—is a template f...
This paper presents a heuristic approach based on the POPMUSIC framework for a large-scale Multi Dep...
This paper presents a heuristic approach based on the POPMUSIC frame-work for a large scale Multi De...
This work proposes a partial optimization metaheuristic under special intensification conditions (PO...
POPMUSIC— Partial OPtimization Metaheuristic Under Special Intensification Conditions — is a templat...
International audienceThis work proposes a partial optimization metaheuristic under special intensif...
In this paper we consider a large scale Multi Depot Vehicle Routing Problem with Time Windows (MDVRP...
We propose a large neighborhood search (LNS) algorithm to solve the periodic location routing proble...
This paper proposes a new hybrid metaheuristic algorithm that is composed of the adaptive large neig...
International audienceThe design of distribution systems raises hard combinatorial optimization prob...
This paper proposes a new heuristic algorithm for the Capacitated Location-Routing Problem (CLRP), c...
As pointed out by Nagy and Salhi in their recent survey [2], many variants of the location-routing p...
International audienceThis paper addresses the capacitated location-routing problem (CLRP), raised b...
A key point for implementing a fast and efficient local search is to use a neighbourhood of limited ...