Chao Lu
Orcid: 0000-0003-4637-6065Affiliations:
- China University of Geosciences, School of Computer Science, Wuhan, China
According to our database1,
Chao Lu
authored at least 56 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Scheduling Dual-Arm Multi-Cluster Tools With Residency Time Constraints Beyond Swap-Based Strategies and Module-Bound Regions.
IEEE Robotics Autom. Lett., November, 2024
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs.
IEEE Trans Autom. Sci. Eng., October, 2024
A Self-Learning Discrete Artificial Bee Colony Algorithm for Energy-Efficient Distributed Heterogeneous L-R Fuzzy Welding Shop Scheduling Problem.
IEEE Trans. Fuzzy Syst., June, 2024
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking.
Expert Syst. Appl., March, 2024
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
IEEE Trans. Ind. Informatics, January, 2024
Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns.
Expert Syst. Appl., January, 2024
Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem.
Comput. Oper. Res., January, 2024
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities.
Swarm Evol. Comput., 2024
Optimizing distributed reentrant heterogeneous hybrid flowshop batch scheduling problem: Iterative construction-local search-reconstruction algorithm.
Swarm Evol. Comput., 2024
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources.
J. Ind. Inf. Integr., 2024
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints.
Expert Syst. Appl., 2024
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem.
Eng. Appl. Artif. Intell., 2024
An enhanced memetic algorithm with hierarchical heuristic neighborhood search for type-2 green fuzzy flexible job shop scheduling.
Eng. Appl. Artif. Intell., 2024
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time.
Complex Syst. Model. Simul., 2024
Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages.
CoRR, 2024
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop.
Appl. Soft Comput., 2024
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches.
Adv. Eng. Informatics, 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
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm.
Expert Syst. Appl., May, 2023
Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling.
Appl. Soft Comput., May, 2023
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning.
Adv. Eng. Informatics, April, 2023
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time.
IEEE Trans. Evol. Comput., 2023
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform.
Robotics Comput. Integr. Manuf., 2023
Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories.
Eng. Appl. Artif. Intell., 2023
18, Springer, ISBN: 978-981-99-6986-9, 2023
2022
A Multi-Objective Cellular Memetic Optimization Algorithm for Green Scheduling in Flexible Job Shops.
Symmetry, 2022
Energy Saving in Single-Machine Scheduling Management: An Improved Multi-Objective Model Based on Discrete Artificial Bee Colony Algorithm.
Symmetry, 2022
A tri-population based co-evolutionary framework for constrained multi-objective optimization problems.
Swarm Evol. Comput., 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 Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds.
IEEE Syst. J., 2022
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers.
Robotics Comput. Integr. Manuf., 2022
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Knowl. Based Syst., 2022
Inf. Sci., 2022
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop.
Expert Syst. Appl., 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
2021
Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China.
IEEE Trans. Ind. Informatics, 2021
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm.
Swarm Evol. Comput., 2021
2020
Chaotic-based grey wolf optimizer for numerical and engineering optimization problems.
Memetic Comput., 2020
2019
An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization.
Knowl. Based Syst., 2019
Appl. Soft Comput., 2019
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution.
Appl. Soft Comput., 2019
Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
An Effective Multiobjective Algorithm for Energy-Efficient Scheduling in a Real-Life Welding Shop.
IEEE Trans. Ind. Informatics, 2018
Appl. Intell., 2018
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018
2017
A novel mathematical model and multi-objective method for the low-carbon flexible job shop scheduling problem.
Sustain. Comput. Informatics Syst., 2017
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry.
Eng. Appl. Artif. Intell., 2017
An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times.
Comput. Ind. Eng., 2017
2016
An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production.
Adv. Eng. Softw., 2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
2015
A hybrid algorithm based on a new neighborhood structure evaluation method for job shop scheduling problem.
Comput. Ind. Eng., 2015
2014
Reversal effect of low-intensity ultrasound on adriamycin-resistant human hepatoma cells <i>in vitro</i> and <i>in vivo</i>.
Int. J. Imaging Syst. Technol., 2014