Jamal Benhra

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Hospital mission is to insure patient safety and quality of care associated with any medical processor. Among to provide performance hospitals processors is medicine drugs circuit. Modeling and simulating is an excellent tool that allows understanding this complexity and analyzing performances. In this paper, we propose a simulation models with Colored(More)
This paper presents a DC motor fault diagnosis system based on Bayesian networks. This was done by the design of a new electromechanical test bed allowing the collection of functioning data from a real world industrial Direct current (DC) Motor. The data collection will help in the construction of Bayesian networks models. These data are collected from(More)
  • Sabry Ahmed Haroun, Benhra Jamal, +4 authors A. J. Owens
  • 2015
This work presents a contribution to comparing two nature inspired metaheuristics for solving the TSP. We run ACO and GA on three benchmark instances with varying size and complexity, in addition to one real world application in the field of urban transportation and logistics. A first chapter presents algorithmic approaches. Results and discussion chapter(More)
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)
  • Salma Mouatassim, Mustapha Ahlaqqach, +4 authors N. Chilov
  • 2016
Several researches have been done to optimize different flows in blood supply chain. However, the use of game theory in this sense is rare. The following work focus on the case of Morocco, consisting of 16 Regional Blood Transfusion Centers (RBTC) centralized around a National Blood Transfusion and Hematology Center (NBTHC). An approach based on hybridized(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)
Modeling and optimizing joint production-maintenance functions is a part of complex system's representation domain. The exact methods are spread for their simplicity and efficiency. The use of Meta heuristics for optimization problems is the aim of several researches in various domains, enabling us to obtain fast optimal solutions. The focus of this(More)
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