Our group warmly congratulates our Master's student Qi Qi [齐琪] at the University of Science and Technology of China (USTC) [中国科学技术大学], who completer her Master's degree in Computer Science. Ms. Qi has been an outstanding student supervised by Prof. Dr. Thomas Weise. She has significantly contributed to our Optimization Benchmarking project and also has given two conference reports, at GECCO 2017 and ICACI 2018. Ms. Qi will now join the group of Prof. Tianbao Yang at the University of Iowa in Iowa City, Iowa, USA. We wish her all the best for her future career and pursuit of a PhD degree.
Thomas Weise, Xiaofeng Wang, Qi Qi, Bin Li, and Ke Tang. Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features. Applied Soft Computing Journal (ASOC), 73:366–382, December 2018.
doi:10.1016/j.asoc.2018.08.030 / share link (valid until November 6, 2018) / blog entry
Indexing: EI, WOS, ESCI
Qi Qi, Thomas Weise, and Bin Li. Optimization Algorithm Behavior Modeling: A Study on the Traveling Salesman Problem. In Proceedings of the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018), March 29-31, 2018 in Xiamen [厦门], Fujian [福建省], China, IEEE, pages 845–850. ISBN: 978-1-5386-4362-4. Appeared in the International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the ICACI 2018.
pdf / slides / workshop website
Qi Qi, Thomas Weise, and Bin Li. Modeling Optimization Algorithm Runtime Behavior and its Applications. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'17) Companion, July 15-19, 2017, Berlin, Germany, New York, NY, USA: ACM Press, pages 115-116, ISBN: 978-1-4503-4939-0.
doi:10.1145/3067695.3076042 / paper / poster / blog entry 1 / blog entry 2
Weichen Liu, Thomas Weise, Yuezhong Wu, and Qi Qi. Combining Two Local Searches with Crossover: An Efficient Hybrid Algorithm for the Traveling Salesman Problem. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'17), July 15-19, 2017, Berlin, Germany, New York, NY, USA: ACM Press, pages 298-305, ISBN: 978-1-4503-4920-8.
doi:10.1145/3071178.3071201 / paper / slides / blog entry 1 / blog entry 2