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)
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)
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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