Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times

This paper presents a novel method on the optimization of bi-objective Flexible Job-shop Scheduling Problem (FJSP) under stochastic processing times. The robust counterpart model and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) are used to solve the bi-objective FJSP with consideration o...

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Detalles Bibliográficos
Autores principales: Yang, Xin, Zeng, Zhenxiang, Wang, Ruidong, Sun, Xueshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131930/
https://www.ncbi.nlm.nih.gov/pubmed/27907163
http://dx.doi.org/10.1371/journal.pone.0167427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131930/
https://www.ncbi.nlm.nih.gov/pubmed/27907163
http://dx.doi.org/10.1371/journal.pone.0167427

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