Título: Tutorial on Genetic Algorithms
Autores: Silva, Alexandre P. Alves da
Resumo: Research on genetic algorithms (GAs) has shown that the initial proposals are incapable of solving hard problems in a robust and efficient way. Usually, for large-scale optimization problems, the execution time of first generation GAs dramatically increases while solution quality decreases. The focus of thistutorial is pointing out the main design issues in tailoring GAs to large-scale optimization problems. Important topics such as encoding schemes, selection procedures, self-adaptive and knowledge-based operators are discussed.
Palavras-chave: Genetic algorithms; large-scale optimization
Código DOI: 10.21528/lmln-vol1-no1-art4
Artigo em PDF: vol1-no1-art4.pdf
Arquivo BibTex: vol1-no1-art4.bib