个人简介: 

　　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 

　　通讯地址：湖南省长沙市韶山南路498号 

　　电子邮箱：guiliang_gong@163.com 

　　学术概况与兼职： 

　　长期致力于智能优化算法、数字化工厂设计与优化、图像识别与缺陷检测等方面的科学研究：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7项；参与国家重点研发计划、国家自然科学基金等项目4项；授权专利4个、软著3项；发表学术论文50余篇，其中SCI论文30余篇 (含一区12篇)；Google学术H-index=15，i10-index=20，总被引次数近800次，其中7篇被引50次以上(截至2023年2月）；现为《IEEE Transactions on Evolutionary Computation》、《Journal of Cleaner Production》、《Expert systems with Applications》、《International Journal of Production Research》等国际期刊审稿人。 

　　学术方向:  

　　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，用青春和汗水谱写科研华章！ 

　　教育与工作经历： 

　　2022.12–至今，中南林业科技大学，机电工程学院，副教授 

　　2020.03–2022.11，中南林业科技大学，机电工程学院（第I类博士人才引进），讲师 

　　2018.10–2019.10，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  

　　2015.09–2018.09，湖南大学，机械工程，博士 

　　2014.07–2015.08，湖南工业职业技术学院，汽车工程学院，讲师 

　　2011.09–2014.06，太原科技大学，机械工程，硕士 

　　2009.07–2011.08，湖南华菱涟源钢铁有限公司，机械技术员、值长（生产总调度） 

　　2005.09–2009.06，南华大学，机械工程，学士 

　　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》和《材料成型工艺基础》。 

　　主讲研究生课程：《智能调度》。 

　　科研项目：  

　　1.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，在研； 

　　2.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，在研； 

　　3.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； 

　　4.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，已结题； 

　　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.中南林业科技大学教学改革项目，“三高四新”战略下机械制造工艺学课程设计改革研究，2022-2024年，主持，在研； 

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

　　8.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； 

　　9.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； 

　　10.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； 

　　11.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。 

　　代表性论文：  

　　[1]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TOP；IF=10.2) 

　　[2]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TOP；IF=9.3) 

　　[3]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TOP；IF=8.1) 

　　[4]Guiliang Gong, Deng, Qianwang, 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TOP；IF=8.1) 

　　[5]Guiliang Gong, Chiong Raymond, Qianwang Deng, et al. Energy-efficient flexible flow shop scheduling problem with worker flexibility. Expert systems with applications, 2019, 141:11290. (中科院SCI一区TOP；IF=8.6) 

　　[6]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；IF=7.1) 

　 [7]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 TOP；IF=7.8) 

　　[8]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；IF=9） 

　　[9]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；IF=9) 

　　[10]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；IF=1.4) 

　　[11]Qianwang Deng, Guiliang Gong*, Xuran Gong, et al. A bee evolutionary guiding nondominated sorting genetic algorithm ii for multiobjective flexible job-shop scheduling. Computational Intelligence and Neuroscience, 2017, 1-20. (SCI；IF=3.1，通讯作者) 

　　[12]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TOP；IF=10.1) 

　　[13]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TOP；IF=10.2) 

　　[14]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TOP；IF=8.6) 

　　[15]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；IF=7.1) 

　　[16]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；IF=3.6) 

　　[17]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；IF=7.1) 

　　[18]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；IF=9.4) 

　　[19]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；IF=9.4) 

　　[20]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TOP；IF=8.6) 

　　[21]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；IF=7.1) 

　  [22]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TOP；IF=8.6) 

　　[23]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TOP；IF=8.6) 

　　[24]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；IF=9） 

　　[25]Xuran Gong, Qianwang Deng, Guiliang Gong, et al. A memetic algorithm for multi-objective flexible job-shop problem with worker flexibility. International Journal of Production Research, 2018, 56(7): 2506-2522. (中科院SCI二区；IF=9） 

　　[26]龚桂良,卫良保,任鹏. 混凝土泵车臂架铰点系统机构特性优化. 建筑机械（下半月）, 2014, (2):63-66 

　　[27]卫良保,龚桂良,任鹏. 混凝土泵车臂架结构的受力分析. 中国工程机械学报, 2014, 12(2):163-167 

　　[28]龚艳丽,邓朝晖,龚桂良,戴继明,岳静. 共混改性酚醛树脂的制备与性能. 机械工程材料, 2015, 39(7):64-68 

　　[29]任鹏,卫良保,龚桂良. 基于模态综合法的起重机臂架模态特性分析. 起重运输机械, 2014, (7):59-64