Said Benkachcha

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The aim of this article is to present a collective intelligence approach to help solving optimization problems and apply it in particular to the Travelling Salesman Problem. The approach used is the particle swarm optimization (PSO) whose main idea is to simulate the collective behavior of a cloud. This article also compares the results obtained using PSO(More)
Inspired by nature, genetic algorithms (GA) are among the greatest meta-heuristics optimization methods that have proved their effectiveness to conventional NP-hard problems, especially the traveling salesman problem (TSP) which is one of the most studied supply chain management problems. This paper proposes a new crossover operator called Jump Crossover(More)
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