Genetic Algorithm Combined with Gradient Information for Flexible Job-shop Scheduling Problem with Different Varieties and Small Batches
To solve the Flexible Job-shop Scheduling Problem (FJSP) with different varieties and small batches, a modified meta-heuristic algorithm based on Genetic Algorithm (GA) is proposed in which gene encoding is divided into process encoding and machine encoding, and according to the encoding mode, the m...
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
EDP Sciences
2017-01-01
|
| coleção: | MATEC Web of Conferences |
| Acesso em linha: | https://doi.org/10.1051/matecconf/20179510001 |