Evolving neural networks to optimize material usage in blow molded containers
In industry, there is a growing interest to optimize the use of raw material in blow molded products. Commonly, the material in blow molded containers is optimized by dividing the container into different sections and minimizing the wall thickness of each section. The definition of discrete sections...
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| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/57985 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/57985 |