Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time

R Li, W Gong, L Wang, C Lu, S Jiang - Swarm and Evolutionary …, 2022 - Elsevier
This study is investigated on multi-objective distributed green flexible job shop scheduling
problem with type-2 fuzzy processing time. Minimizing makespan and total energy …

A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem

F Yu, C Lu, J Zhou, L Yin, K Wang - Engineering Applications of Artificial …, 2024 - Elsevier
With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …

Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling

R Li, W Gong, L Wang, C Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of the economy, distributed manufacturing has gradually become the
mainstream production mode. This work aims to solve the energy-efficient distributed flexible …

Co-evolution with deep reinforcement learning for energy-aware distributed heterogeneous flexible job shop scheduling

R Li, W Gong, L Wang, C Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …

Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems

M Gao, K Gao, Z Ma, W Tang - Swarm and Evolutionary Computation, 2023 - Elsevier
This work addresses multiple unmanned surface vessel (USV) scheduling problems with
minimizing maximum completion time. First, a mathematical model is developed with …

Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns

C Luo, W Gong, C Lu - Expert Systems with Applications, 2024 - Elsevier
This paper focuses on the multi-objective energy-efficient flexible job shop scheduling
problem with machine breakdowns. To mitigate the impact of machine breakdowns, a …

Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

H Yu, KZ Gao, ZF Ma, YX Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation

ZQ Zhang, FC Wu, B Qian, R Hu, L Wang… - Expert Systems with …, 2023 - Elsevier
With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …

A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem

H Tang, Y Xiao, W Zhang, D Lei, J Wang… - Expert Systems with …, 2024 - Elsevier
In recent years, the flexible job shop dynamic scheduling problem (FJDSP) has received
considerable attention; however, FJDSP with transportation resource constraint is seldom …

A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning

J Ding, M Chen, T Wang, J Zhou, X Fu, K Li - ACM Computing Surveys, 2023 - dl.acm.org
As one of the most complex parts in manufacturing systems, scheduling plays an important
role in the efficient allocation of resources to meet individual customization requirements …