ALGORITMO DE PESQUISA GRAVITACIONAL

GRAVITATIONAL SEARCH ALGORITHM

Autores/as

  • Luciano Castro Pinto

Resumen

The Gravitational Research Algorithm is a global optimization algorithm based on the theory of gravitation and Newton's Laws. The algorithm is already widespread, with better convergence quality than the genetic algorithm and cluster of particles in numerous applications, with several versions present in recent literature. The simple analysis of hybrid application of the algorithm (PSO-GSA) associating with the concept of gravitational force in a particle system has generality and reliability already demonstrated. In this article, an optimization simulation of the hybrid algorithm of the algorithm (PSO-GSA) is proposed, based on the gravitational interaction of particles with masses. In the proposed algorithm, the particles of mass interact with each other based on Newtonian gravity and the laws of motion. The algorithm (PSO-GSA) can be compared theoretically with other known methods. The result obtained confirms the high simulation performance, in solving several problems at the computational level.

 

Keywords: Simulation; Newton's Laws; Algorithm (PSO-GSA). .

 

Biografía del autor/a

Luciano Castro Pinto

Licenciado e Bach.em Física.

Publicado

2021-01-03

Número

Sección

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