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The Arithmetic Optimization Algorithm

Abualigah, Laith ; Diabat, Ali ; Mirjalili, Seyedali ; Abd Elaziz, Mohamed ; Gandomi, Amir H.

Computer methods in applied mechanics and engineering, 2021-04, Vol.376, p.113609, Article 113609 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Título:
The Arithmetic Optimization Algorithm
Autor: Abualigah, Laith ; Diabat, Ali ; Mirjalili, Seyedali ; Abd Elaziz, Mohamed ; Gandomi, Amir H.
Assuntos: Algorithm ; Algorithms ; AOA ; Arithmetic ; Arithmetic Optimization Algorithm ; Artificial Intelligence ; Benchmark ; Computational Intelligence ; Design engineering ; Genetic Algorithm ; Grey Wolf Optimizer ; Heuristic ; Heuristic methods ; Meta-heuristics ; Multiplication ; Operators (mathematics) ; Optimization ; Optimization algorithms ; Particle Swarm Optimization ; Subtraction ; Whale Optimization Algorithm
É parte de: Computer methods in applied mechanics and engineering, 2021-04, Vol.376, p.113609, Article 113609
Descrição: This work proposes a new meta-heuristic method called Arithmetic Optimization Algorithm (AOA) that utilizes the distribution behavior of the main arithmetic operators in mathematics including (Multiplication (M), Division (D), Subtraction (S), and Addition (A)). AOA is mathematically modeled and implemented to perform the optimization processes in a wide range of search spaces. The performance of AOA is checked on twenty-nine benchmark functions and several real-world engineering design problems to showcase its applicability. The analysis of performance, convergence behaviors, and the computational complexity of the proposed AOA have been evaluated by different scenarios. Experimental results show that the AOA provides very promising results in solving challenging optimization problems compared with eleven other well-known optimization algorithms. Source codes of AOA are publicly available at and .
Editor: Amsterdam: Elsevier B.V
Idioma: Inglês

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The Arithmetic Optimization Algorithm

Abualigah, Laith ; Diabat, Ali ; Mirjalili, Seyedali ; Abd Elaziz, Mohamed ; Gandomi, Amir H.

Amsterdam: Elsevier B.V

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