Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time
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 …
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 …
efficiency have received considerable attention from enterprises and countries. Meanwhile …
Surprisingly popular-based adaptive memetic algorithm for energy-efficient distributed flexible job shop scheduling
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 …
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
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 …
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 …
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
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 …
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
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …
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 …
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 …
considerable attention; however, FJDSP with transportation resource constraint is seldom …
A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning
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 …
role in the efficient allocation of resources to meet individual customization requirements …