Taïcir Loukil

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Evolutionary algorithms have shown some success in solving multiobjective optimization problems. The methods of fitness assignment are mainly based on the information about the dominance relation between individuals. We propose a Pareto fitness genetic algorithm (PFGA) in which we introduce a modified ranking procedure and a promising way of sharing; a new(More)
This paper considers the permutationflow shop scheduling problemwithminimal andmaximal time lags. Time lags are defined as intervals of time that must exist between every pair of consecutive operations of a job. The objective is to hierarchically minimize two criteria, the primary criterion is the minimization of the number of tardy jobs and the secondary(More)
A major challenge facing hospitals is to provide efficient medical services. Healthcare supply chain management (HSCM) using Discrete Event Simulation (DES) has received in literature considerable attention for more than two decades. Despite the widespread literature on this topic, efforts to review and analyze previous studies are very limited. For this(More)
In multi-objective context, the evolutionary approach offers specific mechanisms such as Pareto selection, elitism and diversification. These techniques are proved to be efficient to characterize the Pareto front. However, their high computing time constitutes a major handicap for their expansion. The parallelization of multi-objective evolutionary(More)