Research Area: Metaheuristic Computing
The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is proposed in 2015 to solve constraint optimization problems. This paper presents a comprehensive survey of the applications, variants, and results of the so-called LSA. In LSA, the best-obtained solution is defined to improve the effectiveness of the fitness function through the optimization process by finding the minimum or maximum costs to solve a specific problem. Meta-heuristics have grown the focus of researches in the optimization domain, because of the foundation of decision-making and assessment in addressing various optimization problems. A review of LSA variants is displayed in this paper, such as the basic, binary, modification, hybridization, improved, and others. Moreover, the classes of the LSA’s applications include the benchmark functions, machine learning applications, network applications, engineering applications, and others. Finally, the results of the LSA is compared with other optimization algorithms published in the literature. Presenting a survey and reviewing the LSA applications is the chief aim of this survey paper.
Keywords:
Lightning search algorithm (LSA)
Meta-heuristics
Optimization algorithms
Optimization problems
Author(s) Name: Laith Abualigah, Mohamed Abd Elaziz, Abdelazim G. Hussien, Bisan Alsalibi, Seyed Mohammad Jafar Jalali & Amir H. Gandomi
Journal name: Applied Intelligence
Conferrence name:
Publisher name: Springer
DOI: 10.1007/s10489-020-01947-2
Volume Information: volume 51, pages 2353–2376 (2021)
