A Multi-view Comparison of Various Metaheuristic and Soft Computing Algorithms

A Multi-view Comparison of Various Metaheuristic and Soft Computing Algorithms

Автор: Abdulrahman Ahmed Bobakr Baqais

Журнал: International Journal of Mathematical Sciences and Computing(IJMSC) @ijmsc

Статья в выпуске: 4 vol.3, 2017 года.

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AI algorithms have been applied in a wide spectrum of articles across different domains with great success in finding solutions. There is an increasing trend of applying these techniques on newer problems. However, the numerous numbers of algorithms that are classified as AI algorithm hinder the ability of any researcher to select which algorithm is suitable for his problem. The invention of new algorithms increases the difficulty for researchers to be updated about AI algorithms. This paper is intended to provide a multi-facet comparison between various AI algorithms in order to aid researchers in understanding the differences between some of the popular algorithms and select the suitable candidate for their problems.

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Metaheuristics, Review, Comparison

Короткий адрес: https://sciup.org/15014273

IDR: 15014273

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