On the cycle polytope of a binary matroid
Journal of Combinatorial Theory Series B
A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands
Computers and Operations Research
The vehicle routing problem
Branch-and-cut algorithms for the capacitated VRP
The vehicle routing problem
Heuristic solutions to multi-depot location-routing problems
Computers and Operations Research
Finding Cuts in the TSP (A preliminary report)
Finding Cuts in the TSP (A preliminary report)
A new branch-and-cut algorithm for the capacitated vehicle routing problem
Mathematical Programming: Series A and B
A compact model and tight bounds for a combined location-routing problem
Computers and Operations Research
Odd Minimum Cut Sets and $b$-Matchings Revisited
SIAM Journal on Discrete Mathematics
A memetic algorithm with population management (MA|PM) for the capacitated location-routing problem
EvoCOP'06 Proceedings of the 6th European conference on Evolutionary Computation in Combinatorial Optimization
Multi-start heuristics for the two-echelon vehicle routing problem
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
Engineering Applications of Artificial Intelligence
An Exact Method for the Capacitated Location-Routing Problem
Operations Research
A two-phase hybrid heuristic algorithm for the capacitated location-routing problem
Computers and Operations Research
Approximation Algorithms for Capacitated Location Routing
Transportation Science
A Branch-and-Cut Algorithm for the Symmetric Two-Echelon Capacitated Vehicle Routing Problem
Transportation Science
Evolutionary algorithm for the k-interconnected multi-depot multi-traveling salesmen problem
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Survey of Green Vehicle Routing Problem: Past and future trends
Expert Systems with Applications: An International Journal
Combined location and routing problems for drug distribution
Discrete Applied Mathematics
A GRASP + ILP-based metaheuristic for the capacitated location-routing problem
Journal of Heuristics
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Recent researches in the design of logistic networks have shown that the overall distribution cost may be excessive if routing decisions are ignored when locating depots. The Location-Routing Problem (LRP) overcomes this drawback by simultaneously tackling location and routing decisions. The aim of this paper is to propose an exact approach based on a Branch-and-Cut algorithm for solving the LRP with capacity constraints on depots and vehicles. The proposed method is based on a zero-one linear model strengthened by new families of valid inequalities. The computational evaluation on three sets of instances (34 instances in total), with 5-10 potential depots and 20-88 customers, shows that 26 instances with five depots are solved to optimality, including all instances with up to 40 customers and three with 50 customers.