Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
Author:
Funder
National Natural Science Foundation of China
Science Fund for Distinguished Young Scholars of Guangxi Province
Publisher
Elsevier BV
Subject
General Mathematics,General Computer Science
Reference58 articles.
1. Energy-efficient scheduling of distributed flow shop with heterogeneous factories: a real-world case from automobile industry in China;Lu;IEEE Trans. Ind. Inf.,2021
2. Improved meta-heuristics for solving distributed lot-streaming permutation flow shop scheduling problems;Pan;IEEE Trans. Autom. Sci.Eng.,2022
3. Solving biobjective distributed flow-shop scheduling problems with lot-streaming using an improved Jaya algorithm;Pan;IEEE Trans. Cybern.,2022
4. Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem;Shao;Swarm Evol. Comput.,2020
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