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ORCIDJiajun Zhou 0005
Person information
- affiliation: China University of Geosciences, Wuhan, China
Other persons with the same name
- Jiajun Zhou — disambiguation page
- Jiajun Zhou 0001
![[0000-0002-0640-5362]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0640-5362")
— Harbin Medical University, Harbin, Heilongjiang, China - Jiajun Zhou 0002 — University of Electronic Science and Technology of China, Quzhou, China
- Jiajun Zhou 0003 — Zhejiang University of Technology, Hangzhou, China
- Jiajun Zhou 0004 — University of Hong Kong, Pokfulam, Hong Kong, SAR, China
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2020 – today
- 2025
[j33]Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao:
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach. J. Intell. Manuf. 36(3): 1761-1779 (2025)- [j32]Jiajun Zhou, Liang Gao, Chao Lu, Yun Li:
Knowledge Transfer Enabled Diverse Task Scheduling for Individualized Requirements in Industrial Cloud Platform. IEEE Trans Autom. Sci. Eng. 22: 9117-9129 (2025) - 2024
- [j31]Jiajun Zhou, Yun Tian, Liang Gao, Chao Lu, Xifan Yao:
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. Adv. Eng. Informatics 60: 102343 (2024) - [j30]Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang:
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Appl. Soft Comput. 156: 111508 (2024) - [j29]Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin, Kaipu Wang:
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem. Eng. Appl. Artif. Intell. 128: 107458 (2024) - [j28]Feige Liu, Guiling Li, Chao Lu, Lvjiang Yin, Jiajun Zhou:
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking. Expert Syst. Appl. 237(Part C): 121667 (2024) - [j27]Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin:
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints. Expert Syst. Appl. 239: 122434 (2024) - [j26]Fei Yu, Chao Lu, Lvjiang Yin, Jiajun Zhou:
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources. J. Ind. Inf. Integr. 40: 100620 (2024) - [j25]Xuan Jing, Xifan Yao, Min Liu, Jiajun Zhou:
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling. J. Intell. Manuf. 35(1): 75-93 (2024) - [j24]Jiajun Zhou, Liang Gao, Shijie Rao, Yun Li:
Scheduling Constrained Cloud Workflow Tasks via Evolutionary Multitasking Optimization With Adaptive Knowledge Transfer. IEEE Trans. Serv. Comput. 17(6): 4254-4266 (2024) - [j23]Zhengjie Duan, Jiajun Zhou, Fangzhou Gu:
Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. Virtual Real. 28(3): 136 (2024) - [j22]Zhengjie Duan, Jiajun Zhou, Fangzhou Gu:
Correction: Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. Virtual Real. 28(3): 151 (2024) - 2023
- [j21]Jiajun Zhou, Liang Gao, Chao Lu:
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. Adv. Eng. Informatics 56: 101984 (2023) - [j20]Jiajun Zhou, Shijie Rao, Liang Gao, Chunjiang Zhang, Hongtao Tang, Yun Li, Felix T. S. Chan:
Solving many-task optimization problems via online intertask learning. Expert Syst. Appl. 225: 120110 (2023) - [j19]Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao:
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. Robotics Comput. Integr. Manuf. 80: 102472 (2023) - [j18]Jiajun Zhou, Shijie Rao, Liang Gao:
An ensemble knowledge transfer framework for evolutionary multi-task optimization. Swarm Evol. Comput. 83: 101394 (2023) - [c4]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. ICDM (Workshops) 2023: 649-655 - 2022
- [j17]Jiajun Zhou, Shijie Rao, Liang Gao, Chao Lu, Jun Zheng, Felix T. S. Chan:
Self-regulated bi-partitioning evolution for many-objective optimization. Inf. Sci. 589: 827-848 (2022) - [j16]Chao Lu, Yuanxiang Huang, Leilei Meng, Liang Gao, Biao Zhang, Jiajun Zhou:
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers. Robotics Comput. Integr. Manuf. 74: 102277 (2022) - [j15]Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan:
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. IEEE Trans. Cybern. 52(9): 9770-9783 (2022) - 2021
- [j14]Jiajun Zhou, Xifan Yao, Liang Gao, Chengyu Hu:
An indicator and adaptive region division based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 99: 106872 (2021) - [j13]Jiajun Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang, Chengyu Hu:
Hyperplane-driven and projection-assisted search for solving many-objective optimization problems. Inf. Sci. 574: 394-412 (2021) - [j12]Jiajun Zhou, Liang Gao, Xinyu Li:
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 710-723 (2021) - 2020
- [j11]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation. Appl. Soft Comput. 90: 106160 (2020) - [j10]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search. Inf. Sci. 513: 143-167 (2020)
2010 – 2019
- 2019
- [j9]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Yingzi Lin, Hong Jin, Liang Gao, Xuping Wang:
An individual dependent multi-colony artificial bee colony algorithm. Inf. Sci. 485: 114-140 (2019) - [j8]Jiajun Zhou, Liang Gao, Xifan Yao, Felix T. S. Chan, Jianming Zhang, Xinyu Li, Yingzi Lin:
A decomposition and statistical learning based many-objective artificial bee colony optimizer. Inf. Sci. 496: 82-108 (2019) - [j7]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Liang Gao, Xuan Jing, Xinyu Li, Yingzi Lin, Yun Li:
A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement. Inf. Sci. 501: 248-271 (2019) - [j6]Xifan Yao, Jiajun Zhou, Yingzi Lin, Yun Li, Hongnian Yu, Ying Liu:
Smart manufacturing based on cyber-physical systems and beyond. J. Intell. Manuf. 30(8): 2805-2817 (2019) - [j5]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons. Swarm Evol. Comput. 51 (2019) - 2018
- [j4]Jiajun Zhou, Xifan Yao, Yingzi Lin, Felix T. S. Chan, Yun Li:
An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing. Inf. Sci. 456: 50-82 (2018) - 2017
- [j3]Jiajun Zhou, Xifan Yao:
Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition. Appl. Intell. 47(3): 721-742 (2017) - [j2]Jiajun Zhou, Xifan Yao:
Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing. Appl. Soft Comput. 56: 379-397 (2017) - [j1]Jiajun Zhou, Xifan Yao:
A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition. Int. J. Prod. Res. 55(16): 4765-4784 (2017) - [c3]Jiajun Zhou, Xifan Yao, Jianming Zhang:
Big Data in Wisdom Manufacturing for Industry 4.0. ES 2017: 107-112 - [c2]Xifan Yao, Jiajun Zhou, Jiangming Zhang, Claudio Roberto Boër:
From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On. ES 2017: 311-318 - [c1]Jiangming Zhang, Xifan Yao, Jiajun Zhou, Jingfa Jiang, Xinzhun Chen:
Self-Organizing Manufacturing: Current Status and Prospect for Industry 4.0. ES 2017: 319-326
Coauthor Index
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