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The Lightning Search Algorithm

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  • The Lightning Search Algorithm

    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
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