I was born in Liaocheng, Shandong province, China in 1997. I received B.Eng. and M. Eng degrees in Software Engineering of Liaocheng University, China in 2020 and 2023, respectively. Now, I am pursuing my ph. D. degree in School of Software Engineering, South China University of Technology.

My Ph.D's supervisor is Prof. Yi Xiang. My master's supervisor is A.P. Yuyan Han.

My research interests include intelligent optimization algorithms and their applications (Smart Computing, Smart Grid, Quality-Diversity Optimization, Iterative Greedy Algorithms, Multi-Objective Optimization Algorithms, Evolutionary Algorithms, Neural Network, and Reinforcement Learning).

I have published 10 academic papers in multiple internationally renowned journals such as 《IEEE Transactions on Evolutionary Computation》, 《IEEE Transactions on Emerging Topics in Computational Intelligence》, 《Swarm and Evolutionary Computation》, 《Expert Systems with Applications》, and 《Knowledge based Systems》. Please refer to my Google Scholar page for details.

You can contact me via emails: 987352978@qq.com(recommend), klaetteqin@gmail.com.

✨ News

2025.01: 🎉 My master's thesis “Blocking hybrid flow shop scheduling problems based on iterative greedy algorithms” is awarded as an Outstanding Master's Thesis of Shandong Province, China.
2024.05: 🎉 My master's thesis “Blocking hybrid flow shop scheduling problems based on iterative greedy algorithms” is awarded as an excellent master's thesis in the 7th Intelligent Optimization and Scheduling Conference.
2024.01: 🎉 My paper "An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem" published in Swarm and Evolutionary Computation is recognized as a highly cited paper.
2023.09: 🎉 My paper entitled: "A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids" has been accepted as a regular paper in IEEE Transactions on Evolutionary Computation. More details can be found at Publications.
2023.05: 🎉 My paper entitled: "Energy Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling with Blocking Constraints" has been accepted as a regular paper in IEEE Transactions on Emerging Topics in Computational Intelligence. More details can be found at Publications.
2022.12: 🎉 I won the Third Prize for Innovation Achievements of Graduate Students in Shandong Province.

🏫 Educations

2023.09 ~ 2027.07, PhD.Eng. Student in School of Software Engineering, South China University of Technology
2020.09 ~ 2023.07, M.Eng. Student in Schoold of Computer Science and Technology, Liaocheng University
2016.09 ~ 2020.07, B.Eng. student in School of Computer Science and Technology, Liaocheng University

📖 Publications

🎓 Master Thesis

Haoxiang Qin. Blocking hybrid flow shop scheduling problems based on iterative greedy algorithms. Liaocheng University, 2023. [PDF].

📝 Regular Papers

Haoxiang Qin, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Yuting Wang. Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints. Swarm and Evolutionary Computation, vol.93, no. 101849, pp.1-14, 2025.[DOI: doi.org/10.1016/j.swevo.2025.101849] [PDF], Impact Factor: 8.2, Q1
Haoxiang Qin, Wenlei Bai, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Ling Wang. A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. IEEE Transactions on Evolutionary Computation, vol. 28, no. 5, pp. 1427-1441, Oct. 2024. [DOI: doi: 10.1109/TEVC.2023.3312769] [PDF], Impact Factor: 14.3, Q1
Haoxiang Qin, Yuyan Han✉️, Qingda Chen, Ling Wang, Yuting Wang, Junqing Li, and Yiping Liu. Energy Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling with Blocking Constraints. IEEE Transactions on Emerging Topics in Computational Intelligence, vol.7, no. 5, pp.1442-1457, 2023. [DOI: 10.1109/TECI.2023.3271331][PDF], Impact Factor: 5.3, Q2
Haoxiang Qin, Yuyan Han✉️, Yuting Wang✉️, Yiping Liu, Junqing Li, and Quanke Pan. Intelligent Optimization Under Blocking Constraints: A Novel Iterated Greedy Algorithm for the Hybrid Flow-Shop Group Scheduling Problems. knowledge-based systems, vol.258, no. 109962, pp.1-24, 2022. [DOI: 10.1016/j.knosys.2022.109962] [PDF], Impact Factor: 8.139, Q1
Haoxiang Qin, Yuyan Han✉️, Yiping Liu, Junqing Li, Quanke Pan, Xue Han. A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints. Expert Systems with Applications, vol.201, no. 117256, pp.1-15, 2022, [10.1016/j.eswa.2022.117256] [PDF] , Impact Factor: 8.665, Q1
Haoxiang Qin, Yuyan Han✉️, Biao Zhang, Leilei Meng, Yiping Liu, Quanke Pan, Dunwei Gong. An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem. Swarm and Evolutionary Computation, vol.69, no. 100992, pp.1-18, 2021.[10.1016/j.swevo.2021.100992] [PDF], Impact Factor: 10.267, Q1
Haoxiang Qin, Yuyan Han✉️, Qingda Chen, Junqing Li, Hongyan Sang. A double level mutation iterated greedy algorithm for blocking hybrid flow shop scheduling. Control and Decision, vol.37, no. 9, pp.2323-2332, 2021. [10.13195/j.kzyjc.2021.0607] [PDF], EI, Chinese authoritative journals
Zhongyuan Peng, Haoxiang Qin✉️. A single-individual based variable neighborhood search algorithm for the blocking hybrid flow shop group scheduling problem. Egyptian Informatics Journal, vol.27, no. 100509, 2024. [DOI: 10.1016/j.eij.2024.100509] [PDF], Impact Factor: 5, Q1
Wenlei Bai✉️, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y Lee. Differential Evolutionary Particle Swarm Optimization with Orthogonal Learning for Wind Integrated Optimal Power Flow. Applied soft computing, no.111662, 2024. [10.1016/j.asoc.2024.111662] [PDF], Impact Factor: 8.7, Q1
Xue Han, Yuyan Han✉️, Biao Zhang, Haoxiang Qin, Junqing Li, Yiping Liu, Dunwei Gong. An effective local search algorithm with restart strategy for energy-efficient distributed blocking flowshop scheduling problem with setup times. Applied soft computing, vol.129, no. 109502, pp.2323-2332, 2022. [10.1016/j.asoc.2022.109502] [PDF], Impact Factor: 8.263, Q1

💬 Conference Papers

Haoxiang Qin, Yi Xiang✉️, Yuyan Han, Xueming Yan. Optimizing energy-efficient flexible job shop scheduling with transportation constraints: A Q-Learning enhanced Quality-Diversity algorithm. 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), Hangzhou, China, pp.373-378, 2024. [10.1109/DOCS63458.2024.10704469] [PDF]
Haoxiang Qin, Yuting Wang✉️, Yuyan Han✉️, Qingda Chen, Junqing Li. Adapting a reinforcement learning method for the distributed blocking hybrid flow shop scheduling problem. The 5th Asian Conference on Artificial Intelligence Technology (ACAIT), Haikou, China, pp.751-757, 2021. [10.1109/ACAIT53529.2021.9731228] [PDF]
Haoxiang Qin, Yuyan Han✉️, Junqing Li, Hongyan Sang, Qingda Chen. A quick and effective iterated greedy algorithm for energy-efficient hybrid flow shop scheduling problem with blocking constraint. 2021 11th International Conference on Information Science and Technology (ICIST), Chengdu, China, pp.325-331, 2021. [10.1109/ICIST52614.2021.9440648] [PDF]
Xue Han, Yuyan Han✉️, Yiping Liu, Quanke Pan, Haoxiang Qin, Junqing Li. An improved iterated greedy algorithm for the distributed flow shop scheduling problem with sequence-dependent setup times. 2021 11th International Conference on Information Science and Technology (ICIST), Chengdu, China, pp.332-340, 2021. [10.1109/ICIST52614.2021.9440591][PDF]

🎖️ Honors and Awards

2025.01 Outstanding Master's Thesis of Shandong Province, China.
2024.07 Silver medal winner in the competition of Evolutionary computation in the energy domain: Optimal PV System Allocation, IEEE WCCI 2024 & GECCO 2024 (Joint competition).
2024.05 The 7th Academic Conference on Intelligent Optimization and Scheduling, Outstanding Master's Thesis Award.
2023.07 Bronze medal winner in the competition of Evolutionary computation in the energy domain: Operation and planning applications, GECCO 2023 & IEEE CEC 2023 (Joint competition).
2023.06 First Prize for Outstanding Graduate Achievements of Liaocheng University.
2023.06 Outstanding Master's Thesis of Liaocheng University.
2023.05 Outstanding graduate of Liaocheng University.
2023.05 Outstanding Paper Award for the First Shandong Province Computing Intelligence Conference in 2022.
2022.12 Third Prize for Innovation Achievements of Graduate Students in Shandong Province.
2022.05 Outstanding student at Liaocheng University.
2020.08 Outstanding student of the International Graduate School of Artificial Intelligence.

📚 Project Experience

2024.01-2025.12 Special Project of University-Enterprise Innovation Consortium, "Research on Intelligent Scheduling and Path Planning Methods for UAVs" (Project Code: 20240171), Project Member
2025.01-2027.12 General Program of Shandong Natural Science Foundation, "Evolutionary Algorithms for Multimodal Multi-objective Hybrid Flow Shop Problems and Their Applications in Painting Workshops" (Grant No.: ZR2024MF112), Project Member
2024.01-2026.12 General Program of Shandong Natural Science Foundation, "Collaborative Swarm Intelligence Optimization Scheduling Theory and Methods for Bus Painting Workshops" (Grant No.: ZR2023MF022), Project Member
2022.09-2025.12 Guangyue Youth Scholar Innovation Talent Program support received from Liaocheng University，（Grant No.:LCUGYTD2022-03），Key Member
2019.01-2022.12 National Natural Science Foundation of China，Intelligent and optimal scheduling theory and method for multi-line surface mount shop（Grant No.: 61973203），Project Member
2019.01-2022.12 National Natural Science Foundation of China，An evolutionary algorithm for solving multi-objective constrained optimization problems in continuous environments（Grant No.: 61966012），Project Member
2019.01-2021.12 National Natural Science Foundation of China，Evolutionary optimization algorithm for multi-modal and multi-objective hybrid flow scheduling（Grant No.: 61803192）, Project Member

📝 Academic part-time jobs

Reviewer of 《Applied Soft Computing》 (Impact Factor: 7.2, Q1), 2025.
Reviewer of 《Swarm and Evolutionary Computation》 (Impact Factor: 10.0, Q1), 2024.
Reviewer of 《Journal of Cleaner Production》 (Impact Factor: 11.1, Q1), 2024.
Reviewer of 《Reliability Engineering & System Safety》 (Impact Factor: 8.1, Q1), 2023.

🙂 Hobbies and Interests

👀 Research Interests

Shop Scheduling (Flexible Job Shop, Hybrid Flow Shop, Blocking Flow Shop, Distributed Scheduling, Group, etc)
Electric Scheduling（Smart Grids，ERM Power System Optimization，Uncertain，Risk Factor, etc）
Intelligent optimization algorithms（Metaheuristics, such as Quality-Diversity algorithm, iterative greedy algorithms, genetic algorithms, differential evolution algorithms, etc; Heuristic algorithms such as NEH algorithm, MME algorithm, etc）
Multi-objective optimization, constrained multi-objective optimization (NSGA-II algorithm, MOEA/D algorithm, Meme algorithm)
Deep Reinforcement Learning, Neural network, and Reinforcement learning
Route Planning

Perhaps the following dynamic images can provide a more vivid but superficial description of my work:

🗺️ Daily Interests

Like to travel ✈️🏞️🏖️
Lift, work out, and stay fit 🏋️‍♂️🏃
Painting, Art, and I like secondary anime, movies, as well as American and Japanese dramas 🖌️📺
Read, like to read all kinds of books 📗📘
Handicrafts, pet breeding 🐶🐱🦜
Learn various languages 🗣️

🏨 Academic Activities

2024.08，The 6th International Conference on Data-driven Optimization of Complex Systems, Hangzhou, Zhejiang.
2024.05，The 7th Academic Conference on Intelligent Optimization and Scheduling, Outstanding Master's Thesis Award, Wuxi, Jiangsu.
2023.07，IJCAI Young Elite Symposium (CCF-A), East China Normal University, Shanghai.
2023.05，The 6th Academic Conference on Intelligent Optimization and Scheduling, Zhangjiajie, Hunan.
2022.08，The 5th Academic Conference on Intelligent Optimization and Scheduling, with two papers presented in poster format, Taiyuan, Shanxi.
2021.06，The 4th Conference on Intelligent Optimization and Scheduling, Changsha, Hunan.
2022.10, The 3rd Conference on Intelligent Optimization and Scheduling, Nanning, Guangxi.

👥 Cooperating Members

---Graduate Student tutors---

Yi Xiang (My PhD advisor, associate Professor of South China University of Technology, he is a doctoral supervisor)

Yuyan Han (My supervisor, associate professor of Liaocheng University, she is the supervisor of master students)

---Co-authorship---

Yaochu Jin (IEEE Fellow, He is a professor at Westlake University, a doctoral supervisor and the member of the European Academy of Sciences)

Kwang Y. Lee (IEEE Fellow, he is a Professor and Chair of the Electrical and Computer Engineering Department at Baylor University)

Ling Wang (He is a professor at Tsinghua University, a doctoral supervisor, a recipient of the National Outstanding Youth Fund, and is named one of the top 100000 scientists in the world)

Han Huang (He is a professor at South China University of Technology, he is a doctoral supervisor)

Quanke Pan (He is a professor at Shanghai University, a doctoral supervisor, and a highly cited scientist worldwide)

Dunwei Gong (He is a professor and doctoral supervisor at China University of Mining and Technology)

Yiping Liu (He is an associate professor, doctoral supervisor, and Yuelu scholar at Hunan University)

Qingda Chen (He is a lecturer in the State Key Laboratory of Process Industry Integrated Automation, Northeastern University)

WenLei Bai (He is the principal application developer for Oracle America Inc)

Yuting Wang (He is an associate professor and master's supervisor at Liaocheng University)

Junqing Li (He is a professor and doctoral supervisor at Shandong Normal University, and is named one of the top 100000 scientists in the world)

Kaizhou Gao (He is an assistant professor at Macau University of Science and Technology, a lecturer at Liaocheng University, and a master's supervisor)

Hongyan Sang (She is a professor, master's supervisor, and part-time doctoral supervisor at Liaocheng University)

Biao Zhang (He is an associate professor and master's supervisor at Liaocheng University)

Leilei Meng (He is an associate professor and master's supervisor at Liaocheng University)

💭 Special thanks

Mengjie Zhang (IEEE Fellow, He is the professor of Computer Science at Victoria University of Wellington)

Hisao Ishibuchi (IEEE Fellow, he is the Chair Professor of Computer Science at the Southern University of Science and Technology)

M.Fatih Tasgetiren (He is a professor and doctoral supervisor of Baskent University in Türkiye)

💻 Internships

None.

秦浩翔，男，出生于山东聊城，分别于2020年及2023年获得了聊城大学软件工程专业的学士学位与硕士学位，目前正在华南理工大学软件学院攻读博士学位。

博导为向毅老师，硕导为韩玉艳老师。

目前的研究兴趣包括智能制造、智能车间与智能计算、智能电网、质量-多样性算法、迭代贪婪算法、多目标优化算法、进化算法、神经网络和强化学习。

已在《IEEE Transactions on Evolutionary Computation》、《IEEE Transactions on Emerging Topics in Computational Intelligence》、《Swarm and Evolutionary Computation》、《Expert Systems with Applications》、《knowledge-based systems》等多个国际著名期刊发表学术论文10篇，详情可查看我的谷歌学术主页.

可以通过邮箱联系到我：987352978@qq.com(推荐), klaetteqin@gmail.com

✨ 最新消息

2025.01: 🎉 我的硕士学位论文《基于迭代贪婪算法的阻塞混合流水车间调度问题研究》被评为山东省优秀硕士学位论文.
2024.05: 🎉 我的硕士学位论文《基于迭代贪婪算法的阻塞混合流水车间调度问题研究》在第七届智能优化与调度学术会议上被评为优秀硕士学位论文.
2024.01: 🎉 发表在 Swarm and Evolutionary Computation 的 "An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem" 被评为高被引论文.
2023.09: 🎉 论文"A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids"被期刊 IEEE Transactions on Evolutionary Computation 录用.
2023.05: 🎉 论文"Energy Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling with Blocking Constraints"被期刊 IEEE Transactions on Emerging Topics in Computational Intelligence 录用.
2022.12: 🎉 获得山东省研究生创新成果三等奖.

🏫 教育经历

2023.09 ~ 2027.07, 华南理工大学软件学院，软件工程理论与方法，工学博士在读
2020.09 ~ 2023.07, 聊城大学计算机学院，智能优化算法及其应用，工学硕士
2016.09 ~ 2020.07, 聊城大学计算机学院，软件工程，工学学士

📖学术论文

🎓 硕士毕业论文

秦浩翔. 基于迭代贪婪算法的阻塞混合流水车间调度问题研究. 聊城大学, 2023. [PDF].

📝 期刊论文

Haoxiang Qin, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Yuting Wang. Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints. Swarm and Evolutionary Computation, vol.93, no. 101849, pp.1-14, 2025.[DOI: doi.org/10.1016/j.swevo.2025.101849] [PDF], 影响因子: 8.2, 中科院SCI一区
Haoxiang Qin, Wenlei Bai, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Ling Wang. A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. IEEE Transactions on Evolutionary Computation, vol. 28, no. 5, pp. 1427-1441, Oct. 2024. [DOI: doi: 10.1109/TEVC.2023.3312769] [PDF], 影响因子: 14.3, 中科院SCI一区top.
Haoxiang Qin, Yuyan Han✉️, Qingda Chen, Ling Wang, Yuting Wang, Junqing Li, and Yiping Liu. Energy Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling with Blocking Constraints. IEEE Transactions on Emerging Topics in Computational Intelligence, vol.7, no. 5, pp.1442-1457, 2023. [DOI: 10.1109/TECI.2023.3271331\] [PDF], 影响因子: 5.3, 中科院SCI二区.
Haoxiang Qin, Yuyan Han✉️, Yuting Wang✉️, Yiping Liu, Junqing Li, and Quanke Pan. Intelligent Optimization Under Blocking Constraints: A Novel Iterated Greedy Algorithm for the Hybrid Flow-Shop Group Scheduling Problems. knowledge-based systems, vol.258, no. 109962, pp.1-24, 2022. [DOI: 10.1016/j.knosys.2022.109962] [PDF], 影响因子: 8.139, 中科院SCI一区.
Haoxiang Qin, Yuyan Han✉️, Yiping Liu, Junqing Li, Quanke Pan, Xue Han. A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints. Expert Systems with Applications, vol.201, no. 117256, pp.1-15, 2022, [10.1016/j.eswa.2022.117256] [PDF], 影响因子: 8.665, 中科院SCI一区.
Haoxiang Qin, Yuyan Han✉️, Biao Zhang, Leilei Meng, Yiping Liu, Quanke Pan, Dunwei Gong. An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem. Swarm and Evolutionary Computation, vol.69, no. 100992, pp.1-18, 2021. [10.1016/j.swevo.2021.100992] [PDF] , 影响因子: 10.267, 中科院SCI一区.
秦浩翔, 韩玉艳✉️，陈庆达，李俊青，桑红燕. 求解阻塞混合流水车间调度的双层变异迭代贪婪算法. 控制与决策, vol.37, no. 9, pp.2323-2332, 2021. [10.13195/j.kzyjc.2021.0607] [PDF], EI, 北大核心, 中文权威期刊.
Zhongyuan Peng, Haoxiang Qin✉️. A single-individual based variable neighborhood search algorithm for the blocking hybrid flow shop group scheduling problem. Egyptian Informatics Journal, vol.27, no. 100509, 2024. [DOI: 10.1016/j.eij.2024.100509] [PDF], 影响因子: 5, 中科院SCI三区
Wenlei Bai✉️, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y Lee. Differential Evolutionary Particle Swarm Optimization with Orthogonal Learning for Wind Integrated Optimal Power Flow. Applied soft computing, no.111662, 2024. [10.1016/j.asoc.2024.111662] [PDF], 影响因子: 8.7, 中科院SCI二区
Xue Han, Yuyan Han✉️, Biao Zhang, Haoxiang Qin, Junqing Li, Yiping Liu, Dunwei Gong. An effective local search algorithm with restart strategy for energy-efficient distributed blocking flowshop scheduling problem with setup times. Applied soft computing, vol.129, no. 109502, pp.2323-2332, 2022. [10.1016/j.asoc.2022.109502] [PDF], 影响因子: 8.263, 中科院SCI二区.

💬 会议论文

Haoxiang Qin, Yi Xiang✉️, Yuyan Han, Xueming Yan. Optimizing energy-efficient flexible job shop scheduling with transportation constraints: A Q-Learning enhanced Quality-Diversity algorithm. 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS), Hangzhou, China, pp.373-378, 2024. [10.1109/DOCS63458.2024.10704469] [PDF]
Haoxiang Qin, Yuting Wang✉️, Yuyan Han✉️, Qingda Chen, Junqing Li. Adapting a reinforcement learning method for the distributed blocking hybrid flow shop scheduling problem. The 5th Asian Conference on Artificial Intelligence Technology (ACAIT), Haikou, China, pp.751-757, 2021.[10.1109/ACAIT53529.2021.9731228] [PDF]
Haoxiang Qin, Yuyan Han✉️, Junqing Li, Hongyan Sang, Qingda Chen. A quick and effective iterated greedy algorithm for energy-efficient hybrid flow shop scheduling problem with blocking constraint. 2021 11th International Conference on Information Science and Technology (ICIST), Chengdu, China, pp.325-331, 2021. [10.1109/ICIST52614.2021.9440648] [PDF]
Xue Han, Yuyan Han✉️, Yiping Liu, Quanke Pan, Haoxiang Qin, Junqing Li. An improved iterated greedy algorithm for the distributed flow shop scheduling problem with sequence-dependent setup times. 2021 11th International Conference on Information Science and Technology (ICIST), Chengdu, China, pp.332-340, 2021. [10.1109/ICIST52614.2021.9440591][PDF]

🎖️ 获奖情况

2025.01 2024年山东省优秀硕士学位论文.
2024.07 2024年"能源领域进化计算竞赛：最佳光伏系统分配", IEEE WCCI 2024 和 GECCO 2024（联合竞赛）全球第二名.
2024.05 2024年第七届智能优化与调度学术会议，优秀硕士学位论文奖.
2023.07 2023年"能源领域进化计算竞赛：运行与规划应用", GECCO 2023和IEEE CEC 2023（联合竞赛）全球第三名.
2023.06 2023年聊城大学研究生优秀成果（一等奖）.
2023.06 2023年聊城大学优秀硕士学位论文.
2023.05 2023届聊城大学优秀毕业生.
2023.05 山东省计算智能2022年度优秀学术论文奖.
2022.12 山东省研究生创新成果（三等奖）.
2022.05 聊城大学校级与院级优秀学生.
2020.08 人工智能国际研究生暑期学校优秀学员.

📚 项目经历

2024.01-2025.12 校企创新联合体专项，无人机智能调度与路径规划方法研究（项目编码：20240171），项目成员
2025.01-2027.12 山东省自然科学基金面上项目，面向多模态多目标混合流水车间问题的进化算法及其在涂装车间中的应用（批准号：ZR2024MF112），项目成员
2024.01-2026.12 山东省自然科学基金面上项目，客车涂装车间协同群智能优化调度理论与方法（批准号：ZR2023MF022），项目成员
2022.09-2025.12 光岳青年学者创新团队，LCUGYTD2022-03，骨干成员
2019.01-2022.12 国家自然科学基金面上项目，多线体表面贴装车间的智能优化调度理论与方法（批准号：61973203），项目成员
2019.01-2022.12 国家自然科学基金面上项目，求解连续环境下的多目标约束优化问题的进化算法研究（批准号：61966012），项目成员
2019.01-2021.12 国家自然科学基金青年项目，多模态多目标混合流水调度进化优化算法研究（批准号：61803192）, 项目成员

📝 学术兼职

《Applied Soft Computing》审稿人 (SCI二区, 影响因子: 7.2), 2025.
《Swarm and Evolutionary Computation》审稿人 (SCI一区, 影响因子: 10.0), 2024.
《Journal of Cleaner Production》审稿人 (SCI一区, 影响因子: 11.1), 2024.
《Reliability Engineering & System Safety》审稿人 (SCI一区, 影响因子: 8.1), 2023.

🙂 兴趣爱好

👀 研究兴趣

车间调度(柔性作业车间，混合流水车间，阻塞流水车间, 分布式，成组等)
电力调度（智能电网，ERM电力系统优化，不确定性，风险系数等）
智能优化算法（元启发式算法，如质量-多样性算法，迭代贪婪算法，遗传算法，差分进化算法等. 启发式算法，如NEH算法，MME算法等）
多目标优化，约束多目标优化（NSGA-II算法，MOEA/D算法，模因算法）
深度强化学习，神经网络，强化学习
路径规划

或许通过以下的动图可以更形象但却比较粗浅的描述我的工作：

🗺️ 日常兴趣

爱旅游 ✈️🏞️🏖️
健身，保持身体健康 🏋️‍♂️🏃
绘画，喜欢二次元动漫，电影，以及美剧和日剧 🖌️📺
阅读，喜欢读各类书籍 📗📘
手办，饲养宠物 🐶🐱🦜
学各种语言 🗣️

🏨 学术活动

2024.08，第六届复杂系统数据驱动优化国际会议(DOCS 2024)，浙江·杭州.
2024.05，第七届智能优化与调度学术会议，获得优秀硕士学位论文奖，江苏·无锡.
2023.07，IJCAI青年精英学术大会(CCF-A)，上海·华东师范大学.
2023.05，第六届智能优化与调度学术会议，湖南·张家界.
2022.08，第五届智能优化与调度学术会议，墙展两篇论文，山西·太原.
2021.06，第四届智能优化与调度学术会议，湖南·长沙.
2022.10，第三届智能优化与调度学术会议，广西·南宁.

👥 合作成员

---研究生导师---

向毅 (我的博导, 华南理工大学副教授, 博士生导师)

韩玉艳 (我的硕导, 聊城大学副教授, 硕士生导师)

---合著成员---

金耀初 (IEEE Fellow，欧洲科学院院士，国家特聘专家，长江学者讲座教授，西湖大学人工智能讲席教授，博士生导师)

Kwang Y. Lee (IEEE Fellow, 贝勒大学电气与计算机工程系教授兼系主任)

王凌 (清华大学教授，博士生导师，国家杰出青年基金获得者，全球前10万顶尖科学家)

黄翰 (华南理工大学教授, 博士生导师, 国家级青年人才项目入选者)

潘全科 (上海大学教授，博士生导师，全球高被引科学家)

巩敦卫 (中国矿业大学教授，博士生导师)

刘益萍 (湖南大学副教授，博士生导师，岳麓学者)

陈庆达 (东北大学,流程工业综合自动化国家重点实验室讲师)

白文磊 (美国甲骨文股份有限公司，主要应用程序开发人员)

王玉亭 (聊城大学副教授, 硕士生导师)

李俊青 (山东师范大学教授, 博士生导师, 全球前10万顶尖科学家)

高开周 (澳门科技大学助理教授，聊城大学讲师, 硕士生导师)

桑红燕 (聊城大学教授, 硕士生导师，兼职博士生导师)

张彪 (聊城大学副教授, 硕士生导师)

孟磊磊 (聊城大学讲师, 硕士生导师)

💭 特别感谢

张孟杰 (IEEE Fellow, 新西兰惠灵顿维多利亚大学计算机科学系教授，博士生导师)

Hisao Ishibuchi (IEEE Fellow, 南方科技大学计算机系讲座教授，博士生导师)

M.Fatih Tasgetiren (土耳其巴斯肯特大学教授，博士生导师)

💻 实习

暂无.

Haoxiang Qin