Chao Lu

Orcid: 0000-0003-4637-6065

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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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

Human-Robot Collaborative Scheduling in Energy-Efficient Welding Shop.
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

Intelligence Optimization for Green Scheduling in Manufacturing Systems
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

Self-regulated bi-partitioning evolution for many-objective optimization.
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

Multi-objective cellular particle swarm optimization for wellbore trajectory design.
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

Grey wolf optimizer with cellular topological structure.
Expert Syst. Appl., 2018

A hybrid multi-objective evolutionary algorithm with feedback mechanism.
Appl. Intell., 2018

Wellbore Trajectory Design Optimization using Analytical Target Cascading.
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

A new improved fruit fly optimization algorithm for traveling salesman problem.
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


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