Resumo

MOREIRA, Renato Simões; TEIXEIRA, Otávio Noura  e  OLIVEIRA, Roberto Célio Limão de. Mixing Theory of Retroviruses and Genetic Algorithm to Build a New Nature-Inspired Meta-Heuristic for Real-Parameter Function Optimization Problems. Polibits [online]. 2010, n.42, pp.65-70. ISSN 1870-9044.

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.

Palavras-chave : Evolutionary computation; genetic algorithm; viruses; retroviruses; hybrid metaheuristic.