Learning and Optimization in Games

  F unctional   U seful   N ovel  

LOG is under the OPtimisation and Learning Laboratory (OPAL).


The paper "Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems" by Wenxing Lan has been recognized with a main editor recommendation.


This recognition was featured in the October 2022 issue of the IEEE Computational Intelligence Society Newsletter. The paper presents novel memetic algorithms that are focused on specific regions and incorporate smart initialization techniques to efficiently solve large-scale waste collection problems in real-world scenarios. The elegance of the paper's methodology and its potential impact on the field make it a noteworthy contribution to the scientific community.


Second Prize in the 2020 Competition of Advanced Computer Science Experiment


Ziqi Wang and Tianye Shu won the Second Prize in the 2020 Competition of Advanced Computer Science Experiment organised by the Department.


计系本科生获IEEE CIS Conference Registration Grant


计算机系2017级本科生舒天野和王子祺基于大三创新实验课的研究成果在IEEE World Congress on Computational Intelligence (IEEE WCCI2020)发表论文。依托该成果,舒天野获得IEEE Computational Intelligence Society (CIS)提供的Conference Registration Grant。


We have multiple positions available at the levels of Research Assistant Professors, Postdoctoral Fellows, PhD students (at most one student per year), research assistants and visiting scholars (for a period of at least 6 months) in the following areas.

Positions remain open until filled. If you are interested, please send me your detailed CV.

* If you are interested in working on AI in games, please take a look at our survey ``Deep Learning for Procedural Content Generation'' and the Game AI book before contacting me.