%0 Journal Article
%T Mixing Theory of Retroviruses and Genetic Algorithm to Build a New Nature-Inspired Meta-Heuristic for Real-Parameter Function Optimization Problems
%A Moreira
%A Renato Sim£¿es
%A Teixeira
%A Ot¨¢vio Noura
%A Oliveira
%A Roberto C¨¦lio Lim£¿o de
%J Polibits
%D 2010
%I Scientific Electronic Library Online
%X this paper describes the development of a new hybrid meta-heuristic of optimization based on a viral lifecycle, specifically the retroviruses (the nature's swiftest evolvers), called retroviral iterative genetic algorithm (riga). this algorithm uses genetics algorithms (ga) structures with features of retroviral replication, providing a great genetic diversity, confirmed by better results achieved by riga comparing with ga applied to some real-valued benchmarking functions.
%K evolutionary computation
%K genetic algorithm
%K viruses
%K retroviruses
%K hybrid metaheuristic.
%U http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=S1870-90442010000200008&lng=en&nrm=iso&tlng=en