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  • Wu Qinghua

    Professor
  • Subordinate unit

    Department of Management Science and Information Management
  • Research Interests

    Metaheuristics、Combinatorial optimization、Cosntraint solving、Artificial intelligence、Operational research、Applications (Network design optimization; Transportation; Logistics; Planning)
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Education

Ph.D (Majored in Computer Science), University of Angers, France, 2009–2013

M.S. (Majored in Computer Science), Huazhong University of Science and Technology, China, 2007–2009

B.Sc. (Majored in Industrial Design), Huazhong University of Science and Technology, China, 2003–2007

Oversea Visiting

2015.01-2017.01, School of Business, The Hong Kong Polytechnic University, Researcher (Part time)

Business Consulting

France Telecom, Tianyu Education Technology Co., Ltd

Research Interest

Metaheuristics、Combinatorial optimization、Cosntraint solving、Artificial intelligence、Operational research、Applications (Network design optimization; Transportation; Logistics; Planning)

Key Research Projects

【1】2018-2021: Principal Investigator, “The study of plant partitioning, facility location and cable routing problems in planning large-scale solar power plants”. National Natural Science Fund of China

【2】2015-2017: Principal Investigator, “The study of the vehicle routing problem with workforce management”. National Natural Science Fund of China

Publication

【1】Qing Zhou, Una Benlic, Qinghua Wu, Jin-Kao Hao. Heuristic search to the capacitated clustering problem. European Journal of Operational Research, 2019, 273(2): 464-487.

【2】Yongliang Lu, Una Benlic, Qinghua Wu, A population algorithm based on randomized tabu thresholding for the multi-commodity pickup-and-delivery traveling salesman problem, Computers & Operations Research, 101: 285-297, 2019.

【3】Yongliang Lu, Una Benlic, Qinghua Wu, Memetic algorithm for the multiple traveling repairman problem with profits, Engineering Applications of Artificial Intelligence, Volume 80, April 2019, Pages 35-47.

【4】Qinghua Wu, Yang Wang, Fred Glover, Advanced tabu search algorithms for bipartite boolean quadratic programs guided by strategic oscillation and path relinking, forthcoming in INFORMS Journal on Computing, 2018. (UTD 24).

【5】Yang Wang, Qinghua Wu, Fred Glover, Adaptive tabu search with strategic oscillation for the bipartite boolean quadratic programming problem with partitioned variables, Information Sciences, 450: 284-300, 2018.

【6】Yongliang Lu, Una Benlic, Qinghua Wu, A memetic algorithm for the orienteering problem with mandatory visits and exclusionary constraints, European Journal of Operational Research, 268: 54-69, 2018.

【7】Yongliang Lu, Una Benlic, Qinghua Wu, Multi-restart iterative search for the pickup and delivery traveling salesman problem with FIFO loading, Computers & Operations Research, 97: 18-30, 2018.

【8】Wen Sun, Jin-Kao Hao, Xiangjing Lai, Qinghua Wu. Adaptive feasible and infeasible tabu search for weighted vertex coloring. Information Sciences 466: 203-219, 2018.

【9】Yongliang Lu, Una Benlic, Qinghua Wu, A hybrid dynamic programming and memetic algorithm to the Traveling Salesman Problem with Hotel Selection, Computers & Operations Research, 90: 193-207, 2018.

【10】Jiawei Song, Yang Wang, Haibo Wang, Qinghua Wu, Abraham P. Punnen, An effective multi-wave algorithm for solving the max-mean dispersion problem, accepted for publication in Journal of Heuristics, 2018.

【11】Qinghua Wu, Qing Zhou, Yan Jin, Jin-Kao Hao. Minimum sum coloring for large graphs with extraction and backward expansion search. Applied Soft Computing, 62: 1056-1065, 2018.

【12】Wenyu Wang, Jin-Kao Hao, Qinghua Wu, Tabu search with feasible and infeasible searches for equitable coloring. Engineering Applications of Artificial Intelligence, 71: 1-14, 2018.

【13】Yang Wang, Qinghua Wu, Fred Glover, Effective metaheuristic algorithms for the minimum differential dispersion problem, European Journal of Operational Research, 258(3): 829-843, 2017.

【14】Jin Qin, Xianhao Xu, Qinghua Wu, T.C.E. Cheng, Hybridization of tabu search with feasible and infeasible local searches for the quadratic multiple, Computers & Operations Research, 66: 199–214, 2016.

【15】Qinghua Wu and Jin-Kao Hao, A clique-based exact method for optimal winner determination in combinatorial auctions. Information Sciences, 334: 103-121, 2016.

【16】Yang Wang, Jin-Kao Hao, Fred Glover, Zhipeng Lü, Qinghua Wu. Solving the maximum vertex weight clique problem via binary quadratic programming. Journal of Combinatorial Optimization 32(2): 531-549, 2016.

【17】Qinghua Wu and Jin-Kao Hao, A review on algorithms for maximum clique problems. European Journal of Operational Research, 242(3): 693-709, 2015.

【18】Qinghua Wu, Yang Wang, Zhipeng Lu. A tabu search based hybrid evolutionary algorithm for the max-cut problem. Applied Soft Computing, 34: 827-837, 2015.

【19】Fei Tang, Huizhi Zhou, Qinghua Wu, Hu Qin, A Tabu Search Algorithm for the Power System Islanding Problem, Energies, 8(10): 11315-11341, 2015.

【20】Qinghua Wu and Jin-Kao Hao. Solving the winner determination problem via a weighted maximum clique heuristic. Expert Systems with Applications.42(1): 355-365, 2015.

【21】Qinghua Wu and Jin-Kao Hao, A Hybrid Metaheuristic Method for the Maximum Diversity Problem. European Journal of Operational Research 231(2): 452—464, 2013.

【22】Qinghua Wu and Jin-Kao Hao. Memetic search for the max-bisection problem. Computers & Operations Research 40(1): 166–179, 2013.

【23】Qinghua Wu and Jin-Kao Hao. An adaptive multistart tabu search approach to solve the maximum clique problem. Journal of Combinatorial Optimization, 26(1): 86-108, 2013.

【24】Qinghua Wu and Jin-Kao Hao. An extraction and expansion approach for graph coloring. Asia-Pacific Journal of Operational Research, 30(5): 1350018, 2013.

【25】Qinghua Wu, Jin-Kao Hao, Fred Glover. Multi-neighborhood tabu search for the maximum weight clique problem. Annals of Operations Research 196(1): 611-634, 2012.

【26】Qinghua Wu and Jin-Kao Hao. Coloring large graphs based on independent set extraction. Computers & Operations Research 39(2): 283–290, 2012.

【27】Qinghua Wu and Jin-Kao Hao. An effective heuristic algorithm for sum coloring of graphs. Computers & Operations Research 39(7): 1593–1600, 2012.

【28】Jin-Kao Hao and Qinghua Wu. Improving the extraction and expansion method for large graph coloring. Discrete Applied Mathematics 160(16–17): 2397-2407, 2012.

Teaching (2014-2018)

Undergraduate:

Advanced Programming Language (C++), 156 Teaching Hours

Management Quantitative Analysis, 66 Teaching Hours

Graduate:

Optimization Theory and Application in Management, 44 Teaching Hours