Computational Optimisation and Learning (COL) Lab
 

Image of Rong Qu

Rong Qu

Professor of Computer Science, Faculty of Science

Contact

Expertise Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Automated Algorithm Design; Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Machine Learning supported Evolutionary Algorithms
  • Constraint Programming; Integer Programming, Case Based Reasoning

Teaching Summary

* Introduction to Artificial Intelligence * Selected Topics in Artificial Intelligence * Constraint Logic Programming * Artificial Intelligence Methods * Decision Support Methodologies

Research Summary

Real world applications:

  • Transport Logistic Scheduling, Vehicle Routing
  • Cyber Security for Connected and Autonomous Vehicles (CAVs)
  • Personnel Scheduling, Portfolio Optimization, Multicast Network Routing (Network Coding), Timetabling

Algorithms / techniques:

  • Hyper-heuristics; Evolutionary Algorithms; Meta-heuristics
  • Constraint Programming; Integer Programming, Case Based Reasoning

Selected Publications

Past Research

Artificial Intelligence methods (i.e. heuristics, meta-heuristics and hyper-heuristics) integrated with machine learning for real world scheduling and optimization problems.

Future Research

Modeling and fundamentals of evolutionary algorithms towards automated algorithm design for optimisaiton problems.

COL Lab

The University of Nottingham
School of Computer Science
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB


telephone: +44 (0) 115 9514206
email: pszjds@exmail.nottingham.ac.uk