author = "Hern{\'a}ndez Torres, Reynier and Campos Velho, Haroldo Fraga de 
                         and Chiwiacowsky, Leonardo D.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade de 
                         Caxias do Sul (UCS)}",
                title = "Multi-Particle collision algorithm with Hooke Jeeves applied to 
                         the damage identification in a Kabe problem",
              journal = "Proceeding Series of the Brazilian Society of Applied and 
                         Computational Mathematics",
                 year = "2018",
               volume = "6",
               number = "1",
                pages = "010399",
                 note = "Trabalho apresentado no XXXVII CNMAC, S.J. dos Campos - SP, 
             keywords = "Hybrid metaheuristic, rotation-based learning, opposition-based 
                         learning, multiparticle collision algorithm.",
             abstract = "A new variant of the hybrid metaheutic MPCAHJ (Multi-Particle 
                         Collision Algorithm with Hooke-Jeeves method) is presented. 
                         Multi-Particle Collision Algorithm is a metaheuristic algorithm 
                         that performs a search on the search space. With the addition of 
                         the Rotation-Based Learning mechanism to the exploration search, a 
                         maior area of the search space has chance to be visited. The 
                         Hooke-Jeeves direct search method exploites the best solution 
                         found, allowing to achieve better solutions. The performance of 
                         all implementation are evaluated over twenty-two well known 
                         benchmark functions.",
                 issn = "2359-0793",
             language = "en",
           targetfile = "Torres_multi-particle.pdf",
        urlaccessdate = "29 nov. 2020"