Ali Esmailzadeh

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The S-metaheuristic algorithms work with a single candidate-solution during the search process. That is why they are prone to be trapped in local optima. Many research has being conducted to speed up and also minimize their premature convergence. The Center-point Sampling was introduced by Rahnamayan and Wang in 2008. Based on their experiments, it has(More)
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