所属学科专业：计算机科学与技术，计算机技术
导师简介：
刘俊华，女，博士，副教授，硕士生导师，beat365在线唯一官网数据科学与大数据技术系副主任，荣获2025年度西安工程大学“优秀教师”称号。陕西省服装设计智能化重点实验室学术骨干，长期从事超多目标优化、约束优化与动态多目标优化等方面的研究工作。主持国家自然科学青年基金项目、陕西省自然基金青年项目和校级重点教改项目等，作为核心成员参与多项国家级项目。近年来在《knowledge-based systems》《Integrated Computer-Aided Engineering》等国际学术会议和期刊上公开发表学术论文二十余篇。受邀成为《Information Sciences》，《Applied Soft Computing》等学术期刊审稿人。荣获陕西省数学类专业课堂教学竞赛二等奖1项。
主要研究方向：
约束多目标优化、(超)多目标优化、动态多目标优化算法及其应用.
近年来主持科研项目及学术成果：
1.国家自然科学青年基金项目，62202366，“基于自适应跟踪反馈的超多目标优化方法研究”2023.01至2025.12，结题，主持；
2.陕西省自然科学基础研究计划项目,一般项目(青年)，2022JQ-624,“基于非线性支配框架的超多目标优化算法研究”, 2022.01至2023.12,结题,主持；
3.横向项目，2021KJ-708，“智能调度管理系统优化”，2022.12-2023.12,结题,主持；
4.国家自然科学基金项目，面上项目，61872281，“大规模生物数据计算的优化建模与高效算法研究”，2019.01-2022.12，结题，参加。
5.国家自然科学基金项目，地区项目，61561001，“基于粒子群优化的多目标智能算法及应用研究”，2016.01-2019.12，结题，参加。
代表性论文：
[1]Cunyan Liu,Junhua Liu*, Wei Zhang, Qingda Chen, Meng Wang, Mengnan Tian. Intensity-driven evolutionary optimization with dual prediction and adaptive stepwise response for dynamic multi-objective problems[J]. Evolutionary Intelligence, 2026, 19:16.
[2]Cunyan Liu, Qingda Chen,Junhua Liu*, Wei Zhang, Meng Wang, Can Liu. Constraint-tightening based adaptive two-stage evolutionary algorithm for constrained multi-objective optimization[J]. Swarm and Evolutionary Computation, 2025, 99: 102137.(SCI,中科院-1区）
[3]Lupeng Hao, Weihang Peng,Junhua Liu*, Wei Zhang, Yuan Li, Kaixuan Qin. Competition-based two-stage evolutionary algorithm for constrained multi-objective optimization [J]. Mathematics and Computers in Simulation, 2025, 230: 207-226.(SCI,中科院-2区, Top期刊）
[4]Wei Zhang, Jianchang Liu,Junhua Liu, Yuanchao Liu, Shubin Tan. A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization[J].Expert Systems With Applications, 2024, 237(121244)：1-25.(SCI,中科院-1区, Top期刊）
[5]Wei Zhang, Jianchang Liu,Junhua Liu, Yuanchao Liu, Shubin Tan. A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization [J], Applied Soft Computing, 2024, 167(112428)：1-22.(SCI,中科院-1区, Top期刊）
[6]Wei Zhang, Jianchang Liu, Yuanchao Liu,Junhua Liu, Shubin Tan. A many-objective evolutionary algorithm under diversity-first selection based framework [J], Expert Systems With Applications, 2024, 250(123949)：1-19.(SCI,中科院-1区, Top期刊）
[7]Wei Zhang, Jianchang Liu,Junhua Liu, Yuanchao Liu, Honghai Wang. A many-objective evolutionary algorithm based on novel fitness estimation and grouping layering[J], Neural Computing and Applications, 2023, 35：24283-24314.
[8]Junhua Liu, Yuping Wang, Yiu-ming Cheung. A Cα-Dominance-Based Solution Estimation Evolutionary Algorithm for Many-Objective Optimization [J]. Knowledge-Based System, 2022, 248:108738(1-25).(SCI,中科院-1区, Top期刊)
[9]Junhua Liu,Yuping Wang, Ninglei Fan, Shiwei Wei and Wuning Tong. AConvergence-Diversity Balanced Fitness Evaluation Mechanism for Decomposition-Based Many-Objective Optimization Algorithm [J]. Integrated Computer-Aided Engineering, 2019, 26(2):159-184.(SCI,中科院-1区, Top期刊)
[10]Junhua Liu, Wei Zhang, Mengnan Tian, Hong Ji and Baobao Liu. A Double Association-based Evolutionary Algorithm for Many-objective Optimization [J]. Mathematical Biosciences and Engineering, 2023, 20(9):17324-17355.
[11]Mengnan Tian,Junhua Liu, Wei Yue and Jie Zhou. A Novel Integrated Heuristic Optimizer Using a Water Cycle Algorithm and Gravitational Search Algorithm for Optimization Problems [J]. Mathematics, 2023, 11(8):1880(1-26).
[12]Junhua Liu, Yuping Wang,Shiwei Wei, Xin Suiand Wuning Tong. A Filled Flatten Function Method Based on Basin Deepening and Adaptive Initial Point for Global Optimization [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2020, 34(4): 2059011(1-26).
[13]Junhua Liu, Yuping Wang, Shiwei Wei, Xiangjuan Wu and Wuning Tong. A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm [J]. IEEE Access, 2019, 7: 81701-81716.(SCI,中科院-2区)
[14]Junhua Liu, Yuping Wang, Xingyin Wang, Si Guo, Xin Sui. A New Dominance Method Based on Expanding Dominated Area for Many-Objective Optimization [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(3): 1959008(1-24).
[15]Xin Sui, Yuping Wang,Junhua Liu. A New Filled Function Method Combining Auxiliary Function for Global Optimization [J]. Pacific Journal of Optimization,2019,15(1): 23-44.
[16]Xiangjuan Wu, Yuping Wang,Junhua Liu, Ninglei Fan. A New Hybrid Algorithm for Solving Large Scale Global Optimization Problems [J], IEEE Access, 2019, 7: 103354-103364.(SCI,中科院-2区)
[17]Cunyan Liu, Can Liu,Junhua Liu, Fan Sun, Wei Zhang and Lei Fan, "Kullback-Leibler Guided Adaptive Coevolution for Constrained Multi-Objective Optimization," 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS),Taiyuan, China,2025, pp.105-111.（荣获最佳论文奖）
[18]Can Liu, Cunyan Liu,Junhua Liu, Wei Zhang and Lei Fan, "A Constrained Multi-Objective Co-Evolutionary Algorithm Based on Population Distribution Features and Adaptive Constraint Control," 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS), Taiyuan, China, 2025, pp. 641-646.
[19]Lupeng Hao, Junhua Liu,Rongchen Wang. Influence of Mutation Mechanism on the Performance of Constrained Multi-objective Particle Swarm Optimization[C]// The 18th International Conference on Computational Intelligence and Security (CIS),Chengdu, China,December 16-18, 2022, pp.327-330.
[20]Ninglei Fan, Yuping Wang,Junhua Liu, Yiu-ming Cheung. A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization[C]// The 16th International Symposium on Neural Networks (ISNN 2019), Moscow, Russia, July 10-12, 2019, pp. 299-308.
三、人才培养
2024年指导2名研究生分别荣获全国第三届智能优化算法大赛三等奖和优秀奖各1项；2025年3名研究生荣获全国研究生数学建模竞赛三等奖；2025年指导研究生在第七届复杂系统数据驱动优化国际会议（DOCS 2025）荣获最佳论文奖。2025年1名研究生进入海南大学攻读博士学位。
联系方式：liujunhua@xpu.edu.cn
