@InProceedings{LuzArauAnocCamp:2016:MuVeMu,
               author = "Luz, Eduardo F. P. and Araujo, Amarisio da S. and Anochi, Juliana 
                         Aparecida and Campos Velho, Haroldo Fraga de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Vi{\c{c}}osa (UFV)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "A multi-objective version of the multiple particle collision 
                         algorithm",
            booktitle = "Anais...",
                 year = "2016",
                pages = "1",
         organization = "Congresso Brasileiro de Intelig{\^e}ncia Computacional, 11.",
            publisher = "SBIC",
             abstract = "A multi-objective version of a meta-heuristic, loosely inspired on 
                         the behaviour of particles inside a nuclear reactor, is presented. 
                         The Multi-objective Multiple Particle Collision Algorithm (MMPCA) 
                         uses the Pareto based fitness assignment, which uses the concept 
                         of dominance, to generate new solutions and build the Pareto set. 
                         The original population is duplicated, with purpose of 
                         classification and for applying the crowding distance approach. 
                         The latter procedures are also used in the NSGA-II.",
  conference-location = "Porto de Galinhas, PE",
      conference-year = "8-11 set.",
                  doi = "10.21528/CBIC2013-263",
                  url = "http://dx.doi.org/10.21528/CBIC2013-263",
                label = "lattes: 2720072834057575 3 LuzArauAnocVelh:2016:MuVeMu",
             language = "pt",
                  url = "http://brics-cci.org/",
        urlaccessdate = "26 abr. 2024"
}