Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling.

Xu, Binzi; Mei, Yi; Wang, Yan; Ji, Zhicheng; Zhang, Mengjie

Xu, Binzi; Mei, Yi; Wang, Yan; Ji, Zhicheng; Zhang, Mengjie.

Afiliación

Xu B; School of Electrical Engineering, Anhui Polytechnic University, Wuhu, 241000, PR China School of IoT and Engineering, Jiangnan University, Wuxi, 214122, PR China School of Engineering and Computer Science, Victoria University of Wellington, Wellington 6140, New Zealand 7151905016@vip.jiangnan.edu.cn
Mei Y; School of Engineering and Computer Science, Victoria University of Wellington, Wellington 6140, New Zealand yi.mei@ecs.vuw.ac.nz.
Wang Y; School of IoT and Engineering, Jiangnan University, Wuxi, 214122, PR China wangyan88@jiangnan.edu.cn.
Ji Z; School of IoT and Engineering, Jiangnan University, Wuxi, 214122, PR China zcji@jiangnan.edu.cn.
Zhang M; School of Engineering and Computer Science, Victoria University of Wellington, Wellington 6140, New Zealand mengjie.zhang@ecs.vuw.ac.nz.

Evol Comput ; 29(1): 75-105, 2021.

Article en En | MEDLINE | ID: mdl-32375006

Asunto(s)

Algoritmos; Heurística

Palabras clave

Dynamic flexible job shop scheduling; delayed routing; dispatching rule discovery; energy efficiency.; genetic programming

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Heurística Idioma: En Revista: Evol Comput Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Estados Unidos

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