Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation
Author:
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Elsevier BV
Reference57 articles.
1. An energy-efficient multi-objective integrated process planning and scheduling for a flexible job-shop-type remanufacturing system;Zhang;Adv. Eng. Inf.,2023
2. Energy-efficient scheduling in job shop manufacturing systems: a literature review;Fernandes;Sustainability,2022
3. Many-objective evolutionary algorithm with reference point-based fuzzy correlation entropy for energy-efficient job shop scheduling with limited workers;Li;IEEE Trans. Cybern.,2022
4. Green logistics oriented tug scheduling for inland waterway logistics;Zhu;Adv. Eng. Inf.,2021
5. A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines;Abedi;Expert Syst. Appl.,2020
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