Academic Areas: intelligent optimization method and its application in design and manufacture field
Gao Liang received his B.S. degree from Xidian University, Xi’an, China, in 1996 and Ph.D. degree from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2002. He has been a professor at HUST ever since 2006. He is the vice director of state key laboratory of digital manufacturing equipment and technology and vice dean of institution of advanced technology and equipment at HUST.He was supported by the Program for New Century Excellent Talents in University in 2008.He was also supported bythe program for the first level candidates of Hubei New Century high-level talents in 2012.His research interests include intelligence optimization algorithm and its application in design and manufacture field.
1992/09-1996/07 Xidian university Bachelor
1996/09-2002/10 Huazhong university of science and technology Doctorate
2000/10 - 2003/06:lecturer, school of mechanical science and engineering, Huazhong University of Science and Technology.
2003/07 - 2006/10: vice professor, school of mechanical science and engineering, Huazhong University of Science and Technology.
2006/11 - : professor, school of mechanical science and engineering, Huazhong University of Science and Technology.
Quanke Pan, Liang Gao, Xinyu Li. Flow shop scheduling and optimization algorithm. Huazhong University of Science and Technology Press, 2013.(in Chinese)
Liang Gao, Guohui Zhang, Xiaojuan Wang. Flexible job shop scheduling intelligence algorithm and its application. Huazhong University of Science and Technology Press, 2013.(in Chinese)
Jie Zhang, Liang Gao and Peigen Li. Application of Multi-Agent Technology in Advanced Manufacturing. Science Press, 2004 (in Chinese)
Xinyu Shao, Xinyu Li, Liang Gao, Chaoyong Zhang. “Integration of process planning and scheduling-a modified genetic algorithm-based approach”, Computer and Operation Research, 2009, 36(6), 2082-2096.
Guohui Zhang, Liang Gao, Yang Shi. “An effective genetic algorithm for the flexible job-shop scheduling problem”, Expert Systems with Applications, 2011 38(4), 3563-3573.
Yang Shi, Hongcheng Liu, Liang Gao, Guohui Zhang. “Cellular particle swarm optimization”, information sciences, 2011, 181(20), 4460-4493.
Xiaojun Wang, Liang Gao, Chaoyong Zhang, Xinyu Shao. “A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem”, international journal of advanced manufacturing technology, 2010, 51(5-8), 757-767.
Xinyu Li, Chaoyong Zhang, Liang Gao, Weidong Li, Xinyu Shao. “An agent-based approach for integrated process planning and scheduling”, Expert systems with Application, 2010, 37(2), 1256-1264.
Xinyu Li, Xinyu Shao, Liang Gao, Weirong Qian.” An effective hybrid algorithm for integrated process planning and scheduling”, International Journal of Production Economics, 2010, 126(2), 289-298.
Liang Gao, Guohui Zhang, Liping Zhang, Xinyu Li. “An efficient memetic algorithm for solving the job shop scheduling problem”, Computer and Industrial Engineering, 2010, 60(4), 699-705.
Yinzhi Zhou, Xinyu Li, Liang Gao, “A differential evolution algorithm with intersect mutation operator”, Applied Soft Computing, 2012, 13(1), 390-401.
GQ Jin, WD Li, Liang Gao. “An adaptive process planning approach of rapid prototyping and manufacturing”, Robotics and Computer-Integrated Manufacturing, 2013, 29(1), 23-38.
Liang Gao, Jida Huang, Xinyu Li. “An effective cellular particle swarm optimization for parameters”, Applied Soft Computing, 2012, 12(11), 3490-3499.
Awards and Honors
1.2013, First Prize for Natural Sciences of the Ministry of Education (rank 1).
2.2008,First Prize for Science and Technology Progress of the Ministry of Education.
3.2012, Second Prize forScience and Technology Progress of Hubei Province.
4.2008, ListedinNew Century OutstandingTalentsProject ofthe Ministry of Education.
5.2012, Listedinthe First-level Candidates of Hubei New Century High-level Talents Project.
6.2011, Awarded Science and Technology Prize for Youth of Hubei Province.
7.2013,Awarded Science and Technology AchievementPrize for Youthof Chinese MechanicalEngineering Society.
8.2012, AwardedMay 4thYouth medal of Hubei Province. 2013, Awarded Outstanding Scientific and Technological Worker in Wuhan City.
Modern optimization methods
1.Research of Data Driven Analysis and Decision Making Methodologyfor Smart Factory, Project number: 51435009, Grand Project of National Science Foundation of China (NSFC), 2015.01-2019.12.
2.Expansions and applications of a novel population-based random searching method--Electromagnetism-like Mechanism algorithm, Project number: 60973086, Grand Project of National Science Foundation of China (NSFC), 2010.01-2012.12.
3.Research on the agile manufacturing and simulation of digital plant, Project number: 2009AA044601, National High Tech R&D Program in China (863), 2010.01-2012.12.
4.Research on methods for Dynamic Scheduling Based on Complex adaptive system and fitness landscape, Project number: NCET-08-0232, New Century Excellent Talents supporting plan by ministry of education. 2009.01-2011.12.
5.Research on the Theory and Methods for Dynamic Scheduling Based on Complexity Science, Project number: 2006AA04Z131, National High Tech R&D Program in China (863), 2006.01-2008.12.
6.Research on the Swarm Intelligence and Particle Swarm Optimization with Its Application in Job-shop Scheduling, Project number: 50305008, Grand Project of National Science Foundation of China (NSFC), 2004.01-2006.12.
7.Research on the Demand Chain Management with System Development, Project number: 2002AA413720, National High Tech R&D Program in China (863), 2003.01-2004.12.
1．Basic Research on Digital Manufacturing of difficult-to-machine Aerospace Parts, Project number: 2011CB706804, National Basic Research Program of China (973), 2011.1-2015.8.
2．Research on Digital Manufacturing Management and Execution Key Technology with its Application, Project number: 2005AA411040, National High Tech R&D Program in China (863 B), 2005.07-2007.03.
3．Research on the Theory and Method of Product Collaborative Design, Project number: 2004CB719405, National Basic Research Program of China (973), 2005.01-2009.12.