Swarm Intelligence Algorithm and its Application:A Critical Review

2020 
In an attempt to solve problems with multi-objectives, science has come to realize that natural processes will go a long way to achieve such goal. Swarm Intelligence (SI) is a population based process that is widely used for solving various complex real world problems. Literatures in this area have not address the implementation of SI algorithm in a simplified way, and also comparing the strength and weaknesses of SI methods is of major importance to its application. To fill these gap three categories of literatures were reviewed along different SI algorithms. This paper seek to outline guidelines for the implementation of some SI algorithms for feature selection to support researchers in their findings by touching in details the characteristics and principles of these SI techniques. Although SI is a promising research area, it is still largely empirical therefore theoretical judgment may sometimes lead to a misleading result.
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