An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem
In recent years, machine learning techniques, especially genetic programming (GP), have been a powerful approach for automated design of the priority rule-heuristics for the resource-constrained project scheduling problem (RCPSP). However, it requires intensive computing effort, carefully selected t...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.2/12602 |
| País: | Portugal |
| Oai: | oai:repositorioaberto.uab.pt:10400.2/12602 |