Levy Arithmetic Algorithm: An enhanced metaheuristic algorithm and its application to engineering optimization

被引:10
|
作者
Barua, Sujoy [1 ,2 ]
Merabet, Adel [1 ]
机构
[1] St Marys Univ, Div Engn, Halifax, NS, Canada
[2] St Marys Univ, Div Engn, 923 Robie St, Halifax, NS B3H 3C3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Arithmetic Optimization Algorithm; Levy Arithmetic Algorithm; Metaheuristic Algorithm; CEC Benchmarks; Engineering Problems; Microgrid ELD; PARTICLE SWARM OPTIMIZATION; SEARCH ALGORITHM; FLIGHT; EVOLUTION;
D O I
10.1016/j.eswa.2023.122335
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Levy Arithmetic Algorithm is an upgraded metaheuristic optimization approach proposed to enhance the Arithmetic Optimization Algorithm using the Levy random step. Arithmetic Optimization Algorithm addresses diverse optimization problems by employing arithmetic operators. However, its linear search capability might hinder attaining optimal solutions, which leads to stagnation. In this study, the Levy Arithmetic Algorithm is introduced by combining the Arithmetic Optimization Algorithm and the Levy random step to enhance search capabilities and minimize computational demands for improved outcomes. The evaluation encompassed ten CEC2019 benchmark functions, four established real-world engineering problems, and the Economic Load Dispatch of microgrids with renewable energy integration. Using evaluation metrics such as standard deviation and mean, along with hypothesis tests, the study conducts a thorough comparison between the performance of the proposed algorithm and that of the conventional Arithmetic Optimization Algorithm. The results show that the Levy Arithmetic Algorithm achieves optimization with a minimized number of evaluations in terms of standard deviation and mean, compared to the Arithmetic Optimization Algorithm. Additionally, the proposed method was compared with various well-known and recent metaheuristics algorithms, and the Levy Arithmetic Algorithm consistently demonstrates superior performance, especially in contrast to the Arithmetic Optimization Algorithm.
引用
收藏
页数:17
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