Lecturer
School of Computer Science
University of Birmingham
Phone: +44 121 414 3712
Email: m.li.8@bham.ac.uk / limitsing@gmail.com
My research is principally on (multi-objective) optimisation, where I am focused on population-based search methods, such as evolutionary algorithms. Currently, I am particularly interested in the following topics.
- Evolutionary multi- and many-objective optimisation --- algorithm design, performance assessment, archiving.
- Evolutionary computation for other general challenging scenarios --- constraint handling, multi-modal optimisation, dynamic/robustness optimisation, data-driven optimisation.
- Multi-criteria decision-making --- visualisation, objective reduction, assisted decision-making.
- Search-based software engineering --- testing, software product line, self-adaptive systems.
- Engineering applications --- product disassembly, post-disaster response, cloud computing.
- Multi-objective optimisation for machine learning --- neural architecture search, reinforcement learning.
This website is my research portfolio where you can find resources of research projects I am/was working on. This includes some brief descriptions (ideas and results) of these Research Projects and their resulting Papers (with codes and data).
You are very welcome to contact me if you are interested in doing a PhD under my supervision on one of the above topics.
Recent News
- [New Paper, Sep 2019] Read our work on Many-objective test suite generation for software product lines published in ACM Transactions on Software Engineering and Methodology.
- [New Paper, Jun 2019] Read our work on Multi-objective optimisation for software service composition, an extension of our GECCO'18 work, published in Information and Software Technology.
- [New Paper, Apr 2019] Read our work on Objective reduction for visualising many-objective solutions published in Information Sciences.
- [New Paper, Dec 2018] Read our work on A survey of quality evaluation of solution sets in multiobjective optimisation published in ACM Computing Surveys.
- [New Paper, Dec 2018] Read our work on Adapting weights for any Pareto front shape in decomposition-based EMO published in Evolutionary Computation.
- [MaOP Task Force, Sep 2017] We have founded the Task Force on Many-Objective Optimisation in the IEEE Computational Intelligence Society to promote the research on many-objective optimisation.