Jiajun Zhou

According to our database, Jiajun Zhou authored at least 37 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach.

Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao

J. Intell. Manuf., March, 2025

Knowledge Transfer Enabled Diverse Task Scheduling for Individualized Requirements in Industrial Cloud Platform.

Jiajun Zhou, Liang Gao, Chao Lu, Yun Li

IEEE Trans Autom. Sci. Eng., 2025

2024

Correction: Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles.

Zhengjie Duan, Jiajun Zhou, Fangzhou Gu

Virtual Real., September, 2024

Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles.

Zhengjie Duan, Jiajun Zhou, Fangzhou Gu

Virtual Real., September, 2024

A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking.

Feige Liu, Guiling Li, Chao Lu, Lvjiang Yin, Jiajun Zhou

Expert Syst. Appl., March, 2024

Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling.

Xuan Jing, Xifan Yao, Min Liu, Jiajun Zhou

J. Intell. Manuf., January, 2024

Scheduling Constrained Cloud Workflow Tasks via Evolutionary Multitasking Optimization With Adaptive Knowledge Transfer.

Jiajun Zhou, Liang Gao, Shijie Rao, Yun Li

IEEE Trans. Serv. Comput., 2024

Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources.

Fei Yu, Chao Lu, Lvjiang Yin, Jiajun Zhou

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.

Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin

Expert Syst. Appl., 2024

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

Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin, Kaipu Wang

Eng. Appl. Artif. Intell., 2024

Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop.

Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang

Appl. Soft Comput., 2024

Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches.

Jiajun Zhou, Yun Tian, Liang Gao, Chao Lu, Xifan Yao

Adv. Eng. Informatics, 2024

2023

An ensemble knowledge transfer framework for evolutionary multi-task optimization.

Jiajun Zhou, Shijie Rao, Liang Gao

Swarm Evol. Comput., December, 2023

Solving many-task optimization problems via online intertask learning.

Jiajun Zhou, Shijie Rao, Liang Gao, Chunjiang Zhang, Hongtao Tang, Yun Li, Felix T. S. Chan

Expert Syst. Appl., September, 2023

Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning.

Jiajun Zhou, Liang Gao, Chao Lu

Adv. Eng. Informatics, April, 2023

Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform.

Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao

Robotics Comput. Integr. Manuf., 2023

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum.

Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front.

Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan

IEEE Trans. Cybern., 2022

A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers.

Chao Lu, Yuanxiang Huang, Leilei Meng, Liang Gao, Biao Zhang, Jiajun Zhou

Robotics Comput. Integr. Manuf., 2022

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

Jiajun Zhou, Shijie Rao, Liang Gao, Chao Lu, Jun Zheng, Felix T. S. Chan

Inf. Sci., 2022

2021

Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization.

Jiajun Zhou, Liang Gao, Xinyu Li

IEEE Trans. Evol. Comput., 2021

Hyperplane-driven and projection-assisted search for solving many-objective optimization problems.

Jiajun Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang, Chengyu Hu

Inf. Sci., 2021

An indicator and adaptive region division based evolutionary algorithm for many-objective optimization.

Jiajun Zhou, Xifan Yao, Liang Gao, Chengyu Hu

Appl. Soft Comput., 2021

2020

Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search.

Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin

Inf. Sci., 2020

An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation.

Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin

Appl. Soft Comput., 2020

2019

Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons.

Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin

Swarm Evol. Comput., 2019

Smart manufacturing based on cyber-physical systems and beyond.

Xifan Yao, Jiajun Zhou, Yingzi Lin, Yun Li, Hongnian Yu, Ying Liu

J. Intell. Manuf., 2019

An individual dependent multi-colony artificial bee colony algorithm.

Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Yingzi Lin, Hong Jin, Liang Gao, Xuping Wang

Inf. Sci., 2019

A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement.

Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Liang Gao, Xuan Jing, Xinyu Li, Yingzi Lin, Yun Li

Inf. Sci., 2019

A decomposition and statistical learning based many-objective artificial bee colony optimizer.

Jiajun Zhou, Liang Gao, Xifan Yao, Felix T. S. Chan, Jianming Zhang, Xinyu Li, Yingzi Lin

Inf. Sci., 2019

2018

An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing.

Jiajun Zhou, Xifan Yao, Yingzi Lin, Felix T. S. Chan, Yun Li

Inf. Sci., 2018

2017

A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition.

Jiajun Zhou, Xifan Yao

Int. J. Prod. Res., 2017

Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing.

Jiajun Zhou, Xifan Yao

Appl. Soft Comput., 2017

Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition.

Jiajun Zhou, Xifan Yao

Appl. Intell., 2017

Big Data in Wisdom Manufacturing for Industry 4.0.

Jiajun Zhou, Xifan Yao, Jianming Zhang

Proceedings of the 5th International Conference on Enterprise Systems, 2017

Self-Organizing Manufacturing: Current Status and Prospect for Industry 4.0.

Jiangming Zhang, Xifan Yao, Jiajun Zhou, Jingfa Jiang, Xinzhun Chen

Proceedings of the 5th International Conference on Enterprise Systems, 2017

From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On.

Xifan Yao, Jiajun Zhou, Jiangming Zhang, Claudio Roberto Boër

Proceedings of the 5th International Conference on Enterprise Systems, 2017