Resumen de Enhancement of the Multi-Particle Collision Algorithm by mechanisms derived from the Opposition-Based Optimization
Reynier Hernández Torres, Haroldo F. Campos Velho, Eduardo F. da luz
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 different strategies to compute the reflected and opposite points are implemented. The performance of all implementations is evaluated over thirty objective functions with different complexities, using serial and parallel versions of the algorithms.
