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https://www.researchgate.net/publication/222140260_A_decision-support_tool_for_a_capacitated_location-routing_problem
In this paper we present a decision-support tool (DST) that implements a capacitated location-routing problem (CLRP) with two levels (depots and customers) and a capacitated and homogeneous vehicle...
https://www.deepdyve.com/lp/elsevier/a-decision-support-tool-for-a-capacitated-location-routing-problem-ZEjBnbk0Mm
Dec 01, 2008 · In this paper we present a decision-support tool (DST) that implements a capacitated location-routing problem (CLRP) with two levels (depots and customers) and a capacitated and homogeneous vehicle fleet.
https://link.springer.com/chapter/10.1007/978-3-319-44896-1_17
Aug 14, 2016 · LOcation Routing Exploration (LORE) is a decision support tool for addressing location, routing and location-routing problems. In this paper the LORE tool will be presented, and its main characteristics addressed.Author: Rui Borges Lopes, Carlos Ferreira, Beatriz Sousa Santos
https://www.ripublication.com/ijaer18/ijaerv13n7_124.pdf
This paper proposed an improvement of genetic algorithm for solving the location-routing problem (LRP). In this study, tournament selection technique and k-mean clustering are applied to create customer routing in each depot. The algorithm is tested on benchmark problems set by data and compared with former algorithm.
https://link.springer.com/article/10.1007%2FBF02023807
Sep 01, 1986 · Abstract. In location-routing problems, the objective is to locate one or many depots within a set of sites (representing customer locations or cities) and to construct delivery routes from the selected depot or depots to the remaining sites at least system cost. The objective function is the sum of depot operating costs,...Cited by: 202
https://www.sciencedirect.com/science/article/pii/S0377221703002650
The vehicle routing problem has been widely studied in the literature, mainly because of the real world logistics and transportation problems related to it. In the present paper, a new two-stage exact approach for solving a real problem is shown, along with decision making software.Cited by: 135
https://www.sciencedirect.com/science/article/pii/S1110982313000288
The Capacitated Vehicle Routing Problem (CVRP) is a well known optimization problem applied in numerous applications. It consists of delivering items to some geographically dispersed customers using a set of vehicles operating from a single depot.Cited by: 5
https://www.sciencedirect.com/science/article/pii/S0377221714000071
Ting and Chen (2013) develop a multiple ant colony optimization algorithm (MACO), in which the CLRP is decomposed into three decision levels: a single-source capacitated facility location problem to determine open depots, a customer-to-depot assignment problem, and a CVRP problem for each depot. Each level is treated sequentially by one dedicated ant colony with its own pheromone matrix …Cited by: 253
https://www.sciencedirect.com/science/article/pii/S0305054816000083
The bilevel GA solves the CLRP in two levels: in the first, solving the capacitated facility location problem; in the second, a vehicle routing problem (VRP) is solved for each of the individuals. Each individual in the population is a solution for the location problem and crossover and mutation only occurs at the first level.Cited by: 25
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