Unconstrained numerical optimization using real-coded genetic algorithms: a study case using benchmark functions in R from Scratch
Unconstrained numerical problems are common in solving practical applications that, due to its nature, are usually devised by several design variables, narrowing the kind of technique or algorithm that can deal with them. An interesting way of tackling this kind of issue is to use an evolutionary al...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade de Passo Fundo (UPF)
2019-09-01
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| Series: | Revista Brasileira de Computação Aplicada |
| Subjects: | |
| Online Access: | http://seer.upf.br/index.php/rbca/article/view/9047 |