Paper Info
Title
Lightning Search Algorithm: A Comprehensive Survey
Abstract
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.
Year
DOI
Venue
2021
10.1007/s10489-020-01947-2
APPLIED INTELLIGENCE
Keywords
DocType
Volume
Lightning search algorithm (LSA), Meta-heuristics, Optimization algorithms, Optimization problems
Journal
51
Issue
ISSN
Citations 
4
0924-669X
2
PageRank 
References 
Authors
0.44
58
6
Name
Order
Citations
PageRank
Laith Abualigah118516.34
Mohamed Abd Elaziz2658.65
Abdelazim G. Hussien371.82
Bisan Alsalibi4121.87
Seyed Mohammad Jafar Jalali572.52
Amir Hossein Gandomi61836110.25