An Effective Cooperative Coevolutionary Algorithm with Global and Local-Oriented Cooperative Mechanisms for Multi-Objective Hybrid Flowshop Lot-Streaming Scheduling with Limited and Flexible Sub-Lots-Reference-Cited by-同舟云学术

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An Effective Cooperative Coevolutionary Algorithm with Global and Local-Oriented Cooperative Mechanisms for Multi-Objective Hybrid Flowshop Lot-Streaming Scheduling with Limited and Flexible Sub-Lots

Published:2024 Issue: Volume: Page:
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Author:

Zhu Yingying,Tang Qiuhua,Zhang Zi Kai,Zhang Liping,Zhao Lianpeng

Publisher

Elsevier BV

Reference53 articles.

1. The hybrid flow shop scheduling problem;R Ruiz;European Journal of Operational Research,2010

2. A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem;B Zhang;IEEE Transactions on Systems, Man, and Cybernetics: Systems,2020

3. An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process;Q.-K Pan;IEEE Transactions on Automation Science and Engineering,2013

4. A systematic review of multi-objective hybrid flow shop scheduling;J S Neufeld;European Journal of Operational Research,2023

5. Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption;H �ztop;Swarm and Evolutionary Computation,2020

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