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A new multi-particle collision algorithm for optimization in a high performance environment

doi: 10.6062/jcis.2008.01.01.0001(Free PDF)

Authors

Eduardo Fávero Pacheco da Luz, José Carlos Becceneri and Haroldo Fraga de Campos Velho

Abstract

A new meta-heuristics is introduced here: the Multi-Particle Collision Algorithm (M-PCA). The M-PCA is based on the implementation of a function optimization lgorithm driven for a collision process of multiple particles. A parallel version for the M-PCA is also described. The complexity for PCA, M-PCA, and a parallel mplementation for the MPCA is developed. The efficiency for optimization for PCA and M-PCA is evaluated for some test functions. The performance of the parallel mplementation of the M-PCA is also presented. The results with M-PCA produced better optimized solutions for all test functions analyzed.

Keywords

Computational mathematics, computational complexity, high performance computing, meta-heuristics, optimization.

References

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