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Apply the Fuzzy Logic Controller to optimization method to solve the Vehicle Routing Problem

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Abstract

The resolution methods of industrial problem as transportation problem, proposed in literature, are habitually the heuristic or metaheuristics approaches. They solve the large problem. However, these kinds approach use different and several parameters. For example, a genetic algorithm has the mutation and crossover parameters. In an ant colony algorithm, the parameters are the visibility and the deposited pheromones. In general, the difficulty of this kind approach is for calculating the good parameter values. This paper proposes a particle swarm optimization approach using a Fuzzy Logic Controller to solve a Vehicle Routing Problem.
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hal-02491007 , version 1 (25-02-2020)

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Farah Belmecheri, Christian Prins, Farouk Yalaoui, Lionel Amodeo. Apply the Fuzzy Logic Controller to optimization method to solve the Vehicle Routing Problem. 2011 International Conference on Communications, Computing and Control Applications (CCCA), Mar 2011, Hammamet, Tunisia. pp.1-3, ⟨10.1109/CCCA.2011.6031505⟩. ⟨hal-02491007⟩

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