@Article{HernándezTorresCampLuz:2019:EnMuCo,
               author = "Hern{\'a}ndez Torres, Reynier and Campos Velho, Haroldo Fraga de 
                         and Luz, Eduardo F. P. da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Centro Nacional de 
                         Monitoramento e Alertas de Desastres Naturais (CEMADEN)}",
                title = "Enhancement of the multi-particle collision algorithm by 
                         mechanisms derived from the opposition-based optimization",
              journal = "Selecciones Matem{\'a}ticas",
                 year = "2019",
               volume = "6",
               number = "2",
                pages = "156--177",
             keywords = "Stochastic algorithm, Metaheuristic, Opposition-Based Learning, 
                         Reflection-Based Learning, Multi-Particle Collision Algorithm, 
                         Algoritmo estocastico, Metaheur ´ ´\ı,,stica, Aprendizaje 
                         basado en oposicion, Aprendizaje basado en refle- ´ xion, 
                         Algoritmo de Colisi ´ on de M ´ ultiples part ´ ´\ı,,culas.",
             abstract = "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. RESUMEN: En este trabajo se 
                         presentan nuevas versiones de la metaheur´\ıstica Algoritmo 
                         de Colision de M ´ ultiples Part ´ ´\ıculas (MPCA). Para 
                         proporcionar soluciones candidatas mas efectivas para un problema 
                         de optimizaci ´ on, se introduce ´ el concepto de oposicion y 
                         reflexi ´ on, con el objetivo de mejorar la capacidad de encontrar 
                         una soluci ´ on en el ´ espacio de busqueda. Se implementan cuatro 
                         estrategias diferentes para calcular los puntos reflejados y 
                         opues- ´ tos. El rendimiento de todas las implementaciones se 
                         evalua en m ´ as de treinta funciones objetivo con diferentes ´ 
                         complejidades, utilizando versiones en serie y paralelas de los 
                         algoritmos.",
                  doi = "10.17268/sel.mat.2019.02.03",
                  url = "http://dx.doi.org/10.17268/sel.mat.2019.02.03",
                 issn = "2411-1783",
             language = "en",
           targetfile = "hernandes enhancement.pdf",
        urlaccessdate = "19 abr. 2024"
}