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Effective arithmetic optimization algorithm with probabilistic search strategy for function optimization problems

Lu Peng, Chaohao Sun, Wenli Wu

2022Data Science and Management22 citationsDOIOpen Access PDF

Abstract

This paper proposes an enhanced arithmetic optimization algorithm (AOA) called PSAOA that incorporates the proposed probabilistic search strategy to increase the searching quality of the original AOA. Furthermore, an adjustable parameter is also developed to balance the exploration and exploitation operations. In addition, a jump mechanism is included in the PSAOA to assist individuals in jumping out of local optima. Using 29 classical benchmark functions, the proposed PSAOA is extensively tested. Compared to the AOA and other well-known methods, the experiments demonstrated that the proposed PSAOA beats existing comparison algorithms on the majority of the test functions.

Topics & Concepts

Benchmark (surveying)Probabilistic logicMathematical optimizationJumpAlgorithmComputer scienceFunction (biology)Optimization algorithmLocal optimumLocal search (optimization)Optimization problemFunction optimizationMathematicsArtificial intelligenceGeographyGenetic algorithmGeodesyEvolutionary biologyBiologyQuantum mechanicsPhysicsMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms