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Ant Colony Optimization Algorithm for Electrical Power Systems Applications: A Literature Review

Ant Colony Optimization Algorithm for Electrical Power Systems Applications: A Literature Review
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Author(s): Ragab A. El-Sehiemy (Kafrelsheikh University, Egypt) and Almoataz Y. Abdelaziz (Ain Shams University, Egypt)
Copyright: 2022
Pages: 23
Source title: Applications of Nature-Inspired Computing in Renewable Energy Systems
Source Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/978-1-7998-8561-0.ch004

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Abstract

Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Recently, meta-heuristic global optimization algorithms have become a popular choice for solving complex and intricate problems, which are otherwise difficult to solve by traditional methods. This chapter reviews the recent applications of ant colony optimization (ACO) algorithm in the field of electrical power systems. Also, the progress of the ACO algorithm and its recent developments are discussed. This chapter covers the aspects like (1) basics of ACO algorithm, (2) progress of ACO algorithm, (3) classification of electrical power system applications, and (4) future of ACO for modern power systems application.

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