Computers and Operations Research - Neural networks in business
Swarm intelligence
The vehicle routing problem
Classical heuristics for the capacitated VRP
The vehicle routing problem
Metaheuristics for the capacitated VRP
The vehicle routing problem
Journal of Global Optimization
HPCN Europe 2000 Proceedings of the 8th International Conference on High-Performance Computing and Networking
Stochastic Vehicle Routing Problem with Restocking
Transportation Science
Stochastic Vehicle Routing with Random Travel Times
Transportation Science
Solving the vehicle routing problem with adaptive memory programming methodology
Computers and Operations Research
A review of particle swarm optimization. Part I: background and development
Natural Computing: an international journal
Natural Computing: an international journal
Bio-inspired Algorithms for the Vehicle Routing Problem
Bio-inspired Algorithms for the Vehicle Routing Problem
A survey on metaheuristics for stochastic combinatorial optimization
Natural Computing: an international journal
A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
Computers and Operations Research
The capacitated vehicle routing problem with stochastic demands and time windows
Computers and Operations Research
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
A branch-and-price algorithm for the capacitated vehicle routing problem with stochastic demands
Operations Research Letters
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper introduces a new hybrid algorithmic approach based on Particle Swarm Optimization (PSO) for successfully solving one of the most popular supply chain management problems, the Vehicle Routing Problem with Stochastic Demands (VRPSD). The VRPSD is a well known NP-hard problem in which a vehicle with finite capacity leaves from the depot with full load and has to serve a set of customers whose demands are known only when the vehicle arrives to them. A number of different variants of the PSO are tested and the one that performs better is used for solving benchmark instances from the literature.