Rui Li
Orcid: 0000-0001-5335-9453Affiliations:
- China University of Geosciences, School of Computer Science, Wuhan, China
According to our database1,
Rui Li
authored at least 12 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process.
Swarm Evol. Comput., 2024
A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer.
Swarm Evol. Comput., 2024
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling.
Eng. Appl. Artif. Intell., 2024
Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV.
Comput. Ind. Eng., 2024
2023
Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling.
IEEE Trans. Cybern., December, 2023
Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling.
Swarm Evol. Comput., December, 2023
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time.
IEEE Trans. Evol. Comput., 2023
Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories.
Eng. Appl. Artif. Intell., 2023
2022
Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time.
Swarm Evol. Comput., 2022
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling.
Expert Syst. Appl., 2022
Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time.
Comput. Ind. Eng., 2022