Enhancement of the Multi-Particle Collision Algorithm by mechanisms derived from the Opposition-Based Optimization

New versions of the metaheuristic Multi-Particle Collision Algorithm (MPCA) are presented. In order to provide more effective candidate solutions for an optimization problem, the concept of opposition and reflection is introduced to improve the capacity to find a solution in the search space. Four d...

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Veröffentlicht in:	Selecciones matemáticas : revista científica del Departamento Académico de Matemáticas Jg. 6; H. 2; S. 156 - 177
Hauptverfasser:	Hernández, Reynier, Campos, Haroldo, P. da Luz, Eduardo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Universidad Nacional de Trujillo 30.12.2019
Schlagworte:	Algoritmo de Colisión de Múltiples partículas Algoritmo estocástico Aprendizaje basado en oposición Aprendizaje basado en reflexión Based Learning Metaheuristic Metaheurística Multi multi-particle collision algorithm Opposition opposition-based learning Particle Collision Algorithm Reflection reflection-based learning Stochastic algorithm
ISSN:	2411-1783, 2411-1783
Online-Zugang:	Volltext
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