Ali Esmailzadeh

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The Opposition-based Differential Evolution (ODE) algorithm has shown to be superior to its parent, Differential Evolution (DE) algorithm in solving many real-world problems and benchmark functions efficiently. An acceleration component of ODE, called generation jumping, is involved with creating opposite population and competing with current population,(More)
The classical Differential Evolution (DE) has showed to perform efficiently in solving both benchmark functions and real-world problems. However, DE, similar to other evolutionary algorithms deteriorate in performance during solving highdimensional problems. Opposition-based Differential Evolution (ODE) was introduced and, in general, has shown better(More)
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)
Tissue-specific histone H5 in the nucleated erythrocytes of dogfish, scup, skate, tautog, sea robin and toad fish was studied. The presence of this histone was inferred by its electrophoretic mocility on polyacrylamide gels containing either acid-urea or sodium dodecyl sulfate. By radioimmunoprecipitation assays, cross reaction was observed between fish(More)
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