Neutrosophic Sets Integrated with Metaheuristic Algorithms: A survey

Abstract

Neutrosophic set is a branch of neutrosophy concerned with nature, the genesis, and
breadth of impartialities, and also their interaction with various mental spectra. Neutrosophic sets
constitute relatively new expansions of intuitionistic fuzzy. In a short period of time, numerous
researchers have accepted neutrosophic reasoning. Many researchers have linked neutrosophic
science and metaheuristics in various ways over the last ten years. Metaheuristic research has
attracted a great attention throughout the literature, which covers methodologies, apps, comparative
analysis; due to its higher intensities and fruitful implementations. Metaheuristic algorithms are
used to introduce the best or the optimum solutions to a lot of optimization problems due to the
behavior of these algorithms inspired by Nature and its ability to adapt to problems, as well as the
possibility of integrating more than one algorithm to reach the best solutions. Based on the previous
reason, many researchers used these algorithms with neutrosophic science to present many
platforms in the recent years, which was the motivation to introduce this survey paper. This paper
is introduced to cover the publications from 2010 to 2021 in order to draw a comprehensive picture
of metaheuristic research integrated with neutrosophic theory.