Topologies and Performance of Intelligent Algorithms: A Comprehensive Review

Topologies and Performance of Intelligent Algorithms: A Comprehensive Review Publisher

Nabaei A¹ ; Hamian M² ; Parsaei MR³ ; Safdari R⁴ ; Samadsoltani T⁴ ; Zarrabi H⁵ ; Ghassemi A²

Show Affiliations

1. Department of Computer Engineering, Azad University, Tehran, Iran
2. Department of Engineering, Payame Noor University (PNU), Tehran, Iran
3. Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran
4. Department of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
5. ICT Research Institute, Tehran, Iran

Source: Artificial Intelligence Review Published:2018

Abstract

Recently, optimization makes an important role in our day-to-day life. Evolutionary and population-based optimization algorithms are widely employed in several of engineering areas. The design of an optimization algorithm is a challenging endeavor caused of physical phenomena in order to obtain appropriate local and global search operators. Generally, local operators are fast. In contrast, global operators are used to find best solution in the search space; therefore they are slower compare to the local ones. The best review-knowledge of papers show that there are many optimization algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and etc in the engineering as a powerful tools. However, there is not a comprehensive review for theirs topologies and performance; therefore, the main goal of this paper is filling of this scientific gap. Moreover, several aspects of optimization heuristic designs and analysis are discussed in this paper. As a result, detailed explanation, comparison, and discussion on AI are achieved. Furthermore, some future research fields on AI are well summarized. © 2016, Springer Science+Business Media Dordrecht.

Style	Citing Format
MLA	Nabaei A, et al.. "Topologies and Performance of Intelligent Algorithms: A Comprehensive Review." Artificial Intelligence Review, vol. 49, no. 1, 2018, pp. 79-103.
APA	Nabaei A, Hamian M, Parsaei MR, Safdari R, Samadsoltani T, Zarrabi H, Ghassemi A (2018). Topologies and Performance of Intelligent Algorithms: A Comprehensive Review. Artificial Intelligence Review, 49(1), 79-103.
Chicago	Nabaei A, Hamian M, Parsaei MR, Safdari R, Samadsoltani T, Zarrabi H, Ghassemi A. "Topologies and Performance of Intelligent Algorithms: A Comprehensive Review." Artificial Intelligence Review 49, no. 1 (2018): 79-103.
Harvard	Nabaei A et al. (2018) 'Topologies and Performance of Intelligent Algorithms: A Comprehensive Review', Artificial Intelligence Review, 49(1), pp. 79-103.
Vancouver	Nabaei A, Hamian M, Parsaei MR, Safdari R, Samadsoltani T, Zarrabi H, et al.. Topologies and Performance of Intelligent Algorithms: A Comprehensive Review. Artificial Intelligence Review. 2018;49(1):79-103.
BibTex	@article{ author = {Nabaei A and Hamian M and Parsaei MR and Safdari R and Samadsoltani T and Zarrabi H and Ghassemi A}, title = {Topologies and Performance of Intelligent Algorithms: A Comprehensive Review}, journal = {Artificial Intelligence Review}, volume = {49}, number = {1}, pages = {79-103}, year = {2018} }
RIS	TY - JOUR AU - Nabaei A AU - Hamian M AU - Parsaei MR AU - Safdari R AU - Samadsoltani T AU - Zarrabi H AU - Ghassemi A TI - Topologies and Performance of Intelligent Algorithms: A Comprehensive Review JO - Artificial Intelligence Review VL - 49 IS - 1 SP - 79 EP - 103 PY - 2018 ER -

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Abstract