Cairo University, Cairo, Egypt.

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Abstract—Optimization represents a fundamental part of many fields such as industry whose aim is the result of an optimization problem. The high dimensionality of various optimization problems raises the requirement for developing new appropriate optimization algorithms. A good instance of these algorithms is parallel evolutionary algorithms that can viably exploit the capabilities of various structures of parallel machines. This is investigated in this article through two sorts of experiments using islands algorithms. The acquired results are explained and analyzed in sections six and seven respectively.

Index Terms—Parallel computing, optimization problems, parallel evolutionary algorithms, high dimensionality.

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Cite: Nadia Abd-Alsabour, "Parallel Evolutionary Algorithms and High Dimensional Optimization Problems," Journal of Computers vol. 13, no. 11, pp. 1265-1271, 2018.