导师信息

一、基本信息 

姓名：龚桂良 

性别：男 

出生年月：1985年8月 

职称：副教授 

导师级别：硕士生导师（学术和专硕） 

最高学位：博士 

邮箱：guiliang_gong@163.com 

地址：湖南省长沙市韶山南路498号中南林业科技大学机械与智能制造学院 

  

二、学术荣誉与社会服务 

  中南林业科技大学机械与智能制造学院副院长，“全球前2％顶尖科学家”榜单入选者、湖南省青年骨干教师、湖南省农业机械与工程学会理事、家居产线数字化设计与智能检测装备研究所负责人。长期致力于数字化工厂设计与优化、生产调度、智能优化算法、面向图像识别与缺陷检测的机器学习算法、家居产线数字化设计与智能检测装备等研究。主持国家自然科学基金、湖南省自然科学基金、湖南省青年骨干教师培养基金、长沙市自然科学基金等项目12项；参与国家重点研发计划、国家自然科学基金等项目4项；出版学术专著1部，授权专利4个、软著3项；发表论文70余篇，其中SCI论文50余篇（H指数=26）；指导学生荣获省级及以上学科竞赛奖励20余项；现为《IEEE Transactions on Evolutionary Computation》、《Journal of Intelligent Manufacturing)、《Expert Systems with Applications》等20多个国际权威期刊审稿人。 

  

三、教育与工作经历 

2024年5月–至今，中南林业科技大学，机械与智能制造学院，副教授/副院长 

2022年12月–2024年4月，中南林业科技大学，机械与智能制造学院，副教授 

2020年03月–2022年11月，中南林业科技大学，机械与智能制造学院（第I类博士人才引进），讲师 

2018年10月–2019年10月，The University of Newcastle（纽卡斯尔大学，澳大利亚），机械工程，国家公派联合培养博士 

2015年09月–2019年12月，湖南大学，机械工程，博士 

2014年07月–2015年08月，湖南工业职业技术学院，汽车工程学院，讲师 

2011年09月–2014年06月，太原科技大学，机械工程，硕士 

2009年07月–2011年08月，湖南华菱涟源钢铁有限公司，机械技术员、生产总调度   

2005年09月–2009年06月，南华大学，机械工程，学士 

  

四、教学情况 

  主讲本科生课程：《机械制造工艺学》、《液压与气压传动》、《金属工艺学》、《智能生产计划管理》  

  主讲研究生课程：《智能调度》

  

五、主要研究方向 

（1）人工智能/智能优化算法及其在设计与制造中的应用； 

（2）智能制造/数字化工厂设计与优化； 

（3）面向图像识别与缺陷检测的机器学习与智能优化算法。 

  科研团队已与相关企业、高校和科研院所建立了密切的合作关系。“理论联系实际，科研服务实业”是课题组坚持的基本方向；“积极拼搏努力，团结互助奉献”是课题组孜孜以求的科研氛围。热烈欢迎有志、有识、有恒之士加入本课题组，教学相长，不负韶华！ 

  

六、科研项目 

[1] 中国电子科技集团公司xx军工所，xx型作战车交互式xx研究，2024年3月立项，主持，在研；  

[2] 湖南省教育厅重点项目,“双碳”目标下湖南省再制造企业联合调度算法与调度平台研究, 2023-2025年, 主持，在研； 

[3] 长沙市科技计划项目，“双碳”战略下多层级再制造企业生产调度优化方法研究，2023-2024年，主持，在研； 

[4] 湖南省青年骨干教师培养项目，2022年湖南省青年骨干教师培养项目，2022-2025年，主持，在研； 

[5] 中南林业科技大学人才引进基金项目，考虑运输的分布式多工厂调度方法研究，2021-2025年，主持，在研； 

[6] 国家自然科学基金项目，节能约束下带维护活动的机器开关机控制调度方法研究，72001217，2021-2023年，主持，结题； 

[7] 湖南省自然科学基金项目，再制造企业联合生产优化调度方法研究，2021JJ41081，2021-2023年，主持，结题； 

[8] 长沙市自然科学基金2020年第一批优先立项项目，节能约束下再制造企业联合加工调度方法研究，kq2007033，2020-2022年，主持，结题； 

[9] 湖南省研究生科研创新项目，“三高四新”战略下数字化车间调度及智能优化算法研究，CX20220736，2022-2023年，结题，指导老师； 

[10] 国家自然科学基金项目，不确定条件下退役机电产品回收与再制造的绿色绩效动态演化机制研究，71473077，2015-2018年，参与人； 

[11] 国家科技支撑计划项目，施工升降机桁结构件机器人智能焊接生产线关键技术研究及应用示范，2015BAF01B01，2015-2017年，主要参与人；  

[12] 国家重点研发计划子项目，制造企业主导的制造服务价值网融合技术与方法，2018YFB1701400，2019-2023年，参与人； 

[13] 汽车车身先进设计制造国家重点实验室自主课题项目，面向网联多车辆协同驾驶的智能调度方法研究，71775004，2018-2020年，排名第二 ，主要参与人。 

  

七、学术论文 

[1] Dian Lu, Guiliang Gong*. A distributed flexible job shop scheduling problem considering rush order insertion using a two-stage memetic algorithm. Applied Soft Computing，2025. (二次返修审稿中,中科院SCI二区） 

[2] Nan Zhu, Guiliang Gong*, Dian Lu, et al. An effective reformative memetic algorithm for distributed flexible job-shop scheduling problem with order cancellation. Expert systems with application, 2024,237:121205. (本人通讯，学生一作，中科院SCI一区) 

[3] Guiliang Gong, Jiuqiang Tang, Dan Huang, et al. Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility. Swarm and Evolutionary Computation, 2024, 84: 101421. (中科院SCI一区) 

[4] Jiuqiang Tang, Guiliang Gong*, Ningtao Peng, et al. An effective memetic algorithm for distributed flexible job shop scheduling problem considering integrated sequencing flexibility. Expert Systems with Applications, 2024, 242: 122734. (本人通讯，学生一作，中科院SCI 一区) 

[5] Kaikai Zhu, Guiliang Gong*, Ningtao Peng, et al. Dynamic distributed flexible job-shop scheduling problem considering operation inspection. Expert Systems with Applications, 2023, 224: 119840. (本人通讯，学生一作，中科院SCI一区) 

[6] Guiliang Gong, Chiong Raymond, Qianwang Deng, et al. A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts. Swarm and Evolutionary Computation, 2022, 75: 101131. (中科院SCI一 区) 

[7] Guiliang Gong, Qianwang Deng，Xuran Gong, et al. A non-dominated ensemble fitness ranking algorithm for multi-objective flexible job-shop scheduling problem considering worker flexibility and green factors. Knowledge-Based Systems, 2021, 231: 107430. (中科院SCI一区) 

[8] Guiliang Gong, Qianwang Deng, Chiong Raymond, et al. An effective memetic algorithm for multi-objective job-shop scheduling. Knowledge-Based Systems, 2019,182: 104840. (中科院SCI一区) 

[9] Guiliang Gong, Chiong Raymond, Qianwang Deng, et al. A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption. Journal of intelligent manufacturing, 2019, 31:1443–1466. (中科院SCI一区) 

[10] Guiliang Gong, Chiong Raymond, Qianwang Deng, et al. Energy-efficient flexible flow shop scheduling problem with worker flexibility. Expert systems with application, 2019, 141:11290. (中科院SCI一区) 

[11] Guiliang Gong, Qianwang Deng, Xuran Gong, et al. A new double flexible job shop scheduling problem integrating processing time, green production, and human factor indicators. Journal of Cleaner Production, 2018, 174: 560-576. (中科院SCI一区) 

[12] Guiliang Gong, Chiong Raymond, Qianwang Deng, et al. Energy-efficient production scheduling through machine on/off control during preventive maintenance. Engineering Applications of Artificial Intelligence, 2021, 104: 104359. (中科院SCI二区) 

[13] Guiliang Gong, Qianwang Deng, Chiong Raymond, et al. Remanufacturing-oriented process planning and scheduling: mathematical modelling and evolutionary optimisation. International Journal of Production Research, 2019，58(12): 3781-3799. (中科院SCI二区) 

[14] Guiliang Gong, Qianwang Deng, Chiong Raymond, et al. A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility. International Journal of Production Research, 2019, 58(14): 4406-4420. (中科院SCI二区) 

[15] Guiliang Gong, Qianwang Deng, Xuran Gong, et al. A Bee Evolutionary Algorithm for Multiobjective Vehicle Routing Problem with Simultaneous Pickup and Delivery. Mathematical Problems in Engineering, 2018, 1-21. (SCI) 

[16] Ningtao peng, Yu Zheng, Zhikai Xiao, Guiliang Gong, et al. Multi-objective dynamic distributed flexible job shop scheduling problem considering uncertain processing time. Cluster Computing, 2025, 28.3: 185. (中科院SCI三区) 

[17] Xiahui, Liu, Qiuanwang, Guiliang Gong, et al. Collaboration and sustainability-driven requirement prioritization for cloud platform planning oriented to value chain lifecycle services. Computers & Industrial Engineering, 2025, 203: 110973. (中科院SCI二区) 

[18] Qiang Luo, Qianwang Deng, Guiliang Gong, et al. Maintenance-driven multi-stage joint optimization considering spare parts production, distribution and imperfect maintenance. Reliability Engineering & System Safety, 2025, 257: 110799.(中科院SCI一区) 

[19] Yu Zheng, Ningtao Peng, Hao Qi, Guiliang Gong, et al. An improved memetic algorithm for distributed hybrid flow shop scheduling problem with operation inspection and reprocessing. Measurement and Control, 2025, 58.1: 68-96. (SCI) 

[20] Ningtao Peng, Kaikai Zhu, Guiliang Gong, et al. An effective two-stage memetic algorithm for the dynamic flexible job-shop scheduling problem with job inspection. Engineering Optimization, 2024, 1-40. (SCI) 

[21] Qiang Luo, Qianwang Deng, Huining Zhuang, Guiliang Gong, Qing Fan, et al. Collaborative scheduling of energy-saving spare parts manufacturing and equipment operation strategy using a self-adaptive two-stage memetic algorithm. Robotics and Computer-Integrated Manufacturing, 2024, 87: 102707. (中科院SCI一区) 

[22] Qiang Luo, Qianwang Deng, Guiliang Gong, Xin Guo, Xiahui Liu. A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm. Expert Systems with Applications, 2022, 207: 117984. (中科院SCI一区) 

[23] Qiang Luo, Qianwang Deng, Xin Guo, Guiliang Gong, Xinhe Zhao, et al. Modelling and optimization of distributed assembly hybrid flow shop scheduling problem with transportation resource scheduling. Computers & Industrial Engineering, 2023, 186: 109717. (中科院SCI一区) 

[24] Qiang Luo, Qing Fan, Qianwang Deng, Xin Guo, Guiliang Gong, Xiahui Liu. Solving bi-objective integrated scheduling problem of production, inventory and distribution using a modified NSGA-II. Expert Systems with Applications, 2023, 225: 120074. (中科院SCI一区) 

[25] Like Zhang, Qianwang Deng, Xiaoyu Wen, Yan Zhao, Guiliang Gong. Optimal production scheduling with multi-round information interaction for demander-dominated decentralized scheduling problem. Engineering Applications of Artificial Intelligence, 2023, 123: 106228. (中科院SCI二区) 

[26] Qiang Luo, Qianwang Deng, Guanhua Xie, Guiliang Gong. A Pareto-based two-stage evolutionary algorithm for flexible job shop scheduling problem with worker cooperation flexibility. Robotics and Computer-Integrated Manufacturing, 2023, 82: 102534. (中科院SCI 一区) 

[27] Like Zhang, Qianwang Deng, Wang Zhen, Guiliang Gong, et al. Collaborative scheduling of production resources and spare parts inventory for distributed equipment with feedback guidance and minimum capacity loss. Swarm and Evolutionary Computation, 2022, 75: 101200. (中科院SCI一区) 

[28] Qiang Luo, Qianwang Deng, Guiliang Gong, et al. A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm. Expert Systems with Applications, 2022, 207: 117984. (中科院SCI一区) 

[29] Like Zhang, Qianwang Deng, Yan Zhao, Qin Fan, Xiahui Liu, Guiliang Gong. Joint optimization of demand-side operational utility and manufacture-side energy consumption in a distributed parallel machine environment. Computers & Industrial Engineering, 2022, 164: 107863. (中科院SCI二区) 

[30] Wenhui Lin, Qianwang Deng, Wenwu Han, Guiliang Gong, et al. An effective algorithm for flexible assembly job‐shop scheduling with tight job constraints. International Transactions in Operational Research, 2022, 29(1): 496-525. (中科院SCI三区) 

[31] Pengfei Zhao, Qianwang Deng, Juan Zhou, Wenwu Han, Guiliang Gong, et al. Optimal production decisions for remanufacturing end-of-life products under quality uncertainty and a carbon cap-and-trade policy. Computers & Industrial Engineering, 2021,162: 107646. (中科院SCI二区) 

[32] Xiahui Liu, Qianwang Deng, Guiliang Gong, et al. Service-oriented collaboration framework based on cloud platform and critical factors identification. Journal of Manufacturing Systems, 2021,61:183-195. (中科院SCI二区) 

[33] Xiahui Liu, Qianwang Deng, Guiliang Gong, et al. Evaluating the interactions of multi-dimensional value for sustainable product-service system with grey DEMATEL-ANP approach. Journal of Manufacturing Systems, 2021, 60: 449-458. (中科院SCI二区) 

[34] Like Zhang, Qianwang Deng, Ruihang Lin, Guiliang Gong, et al. A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect. Expert Systems with Applications, 2021,175: 114843. (中科院SCI一区) 

[35] Kexin Li, Qianwang Deng, Like Zhang, Qin Fan, Guiliang Gong, et al. An effective MCTS-based algorithm for minimizing makespan in dynamic flexible job shop scheduling problem. Computers & Industrial Engineering, 2021, 155: 107211. (中科院SCI二区) 

[36] Wenwu Han, Qianwang Deng, Guiliang Gong, et al. Multi-objective evolutionary algorithms with heuristic decoding for hybrid flow shop scheduling problem with worker constraint. Expert Systems with Applications, 2021, 168: 114282. (中科院SCI一区) 

[37] Qiang Luo, Qianwang Deng, Guiliang Gong, et al. An efficient memetic algorithm for distributed flexible job shop scheduling problem with transfers. Expert Systems with Applications, 2020, 160: 113721. (中科院SCI一区) 

[38] Like Zhang, Qianwang Deng, Guiliang Gong, et al. A new unrelated parallel machine scheduling problem with tool changes to minimise the total energy consumption. International Journal of Production Research, 2020, 58(22): 6826-6845. (中科院SCI二区) 

[39] 李小强,刘敬盛,龚桂良,等.面向板式家具智能全自动生产线的仿真优化研究.林产工业,2024,61(11):26-32. 

[40] 戚浩,龚桂良,刘霞辉,等.考虑订单取消的柔性作业车间调度问题研究.林产工业,2025,1-7.

 

八、学术专著 

[1] 龚桂良著，《节能生产调度及其智能优化算法》，2023年9月第1版，电子科技大学出版社，2023年。

 

九、学科竞赛 

[1] 2023年，“中石协.石化机械杯”第十届中国研究生能源装备创新设计大赛全国三等奖，项目名称：太阳能谐振高空无人机无线充电装置； 

[2] 2023年，第三届湖南省研究生能源装备创新设计大赛二等奖，项目名称：基于太阳能的智能黄花菜采摘机器人； 

[3] 2023年，第三届湖南省研究生能源装备创新设计大赛二等奖，项目名称：基于太阳能与热能回收的农产品检测烘干一体化设备； 

[4] 2023年，第二届湖南省研究生计算机创新大赛二等奖，项目名称：A multi-objective two-stage memetic algorithm for distributed hybrid flow shop scheduling problem with order cancellation； 

[5] 2024年，第十一届“挑战杯”湖南省大学生创业计划竞赛铜奖，项目名称：数智仿真—数字化工厂仿真优化服务引领者； 

[6] 2024年，湖南省第三届研究生创新设计大赛一等奖，项目名称：基于机器视觉的姿态自适应救援机器人；  

[7] 2024年，第五届湖南省研究生人工智能创新大赛三等奖，项目名称：基于图像识别技术的太阳能智能黄花菜采摘机器人。  

 

十、科研奖励  

[1] 湖南省青年骨干教师，2022年；  

[2] 湖南大学优秀博士研究生学校奖学金, 湖南大学, 2018年；  

[3] 国家公派留学奖学金，国家留学基金管理委员会，2018年。  

  

十一、学生培养  

[1] 荣获湖南省优秀毕业生1人：朱楠（2025届）； 

[2] 荣获国家奖学金2人：朱凯凯（2024届）, 朱楠（2025届）； 

[3] 攻读博士学位2人：唐久强（2024届，东南大学）, 朱凯凯（2024届，重庆大学）。