Noureddine Liouane

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The problem of efficiently scheduling production jobs on several machines is an important consideration when attempting to make effective use of a multi-machines system such as a flexible job shop scheduling production system (FJSP). In most of its practical formulations, the FJSP is known to be NP-hard [8][9], so exact solution methods are unfeasible for(More)
Most scheduling problems are highly complex combinatorial problems. However, stochastic methods such as genetic algorithm yield good solutions. In this paper, we present a controlled genetic algorithm (CGA) based on fuzzy logic and belief functions to solve job-shop scheduling problems. For better performance, we propose an efficient representational(More)
This paper treats a tuning of PID controllers method using Multi-objective Differential Evolution. The objective was to apply the differential evolution algorithm in the aim of tuning the optimum solution of the PID controllers (K<sub>p</sub>, K<sub>i</sub> and K<sub>d</sub>) by minimizing the multi-objective function. The potential of using Multi-objective(More)
In recent years, the static and the dynamic jobs scheduling onto heterogeneous processors present a very well studied problem. Typically the Data Grid Scheduling problem (DGS) has recently become an active research area. The heterogeneous processors scheduling problem (HPSP) can be formulated in several ways and the efficient scheduling of the HPSP on the(More)
Many applications in wireless sensor network (WSN) involve the execution of multiple computationally heavy in-network processing tasks. Collaborative in-network processing among different sensor nodes is critical due to the limited capability of a single node. Task allocation is required to assign efficiently the workload of each task. In this paper, Logic(More)
In this paper we propose a new modeling approach. The proposed approach is based on hybrid model which combines Interval Constrained Petri Nets (ICPN) and Timed Automata. These tools allow us to evaluate, respectively, the quality variations and to manage the flow type disturbance. An example analysis illustrates our approach.
The simple structure, low manufacturing cost, rugged behavior, high torque per unit volume and wide torque-speed range make switched reluctance motor (SRM) very attractive for industrial applications. However, these advantages are overshadowed by its inherent high torque ripple, acoustic noise, and difficulty to control. The controlled parameters in SRM(More)
} In this paper, we are interested in monitoring a dynamic system in order to contribute to the establishment of a general procedure for detection and fault isolation.In this regard and based on the mathematical model of the process, we use an observer to generate residuals for a decision in a stage of monitoring and diagnostic system when disruptions or(More)
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