Computational Optimization for Learning and Adaptive Systems Laboratory

Computational Optimization for Learning and Adaptive Systems (COLA) Laboratory was founded by Dr. Ke Li at University of Exeter in the early 2017. Our research interests mainly focuses on the computational intelligence, particularly, evolutionary computation, for solving various types of optimization problems. Currently, we are especially going to address the following topics:

  • Scalability of evolutionary computation in both global and multi-objective optimization.

  • Intersection of game theory and evolutionary computation, in particular stable matching theory and multi-armed bandits.

  • Automatic problem solving, including automatic algorithm portfolio and algorithm configuration.

  • Meta-modeling and fitness landscape analysis

  • Search based software engineering, in particular self-adaptive software engineering and service composition.

  • Water engineering, in particular water distribution system network and reservoir operation control.

Recent News

  • [Oct. 9, 2018] Our paper about evolutionary optimisation of multi-Tenant cloud service composition has been accepted to ICPADS 2018. Congratulations!

  • [Sep. 20, 2018] Grateful to receive a award from North-European Associated Team Project between Inria Lille Nord Europe and University of Exeter.

  • [Sep. 16, 2018] The deadline for EMO 2019 is postponed to 7 October 2018. Please do not hesitate to submit your paper to EMO and to celebrate the 10th birthday of this EMO party. See you in Michigan!

  • [Sep. 11, 2018] Our paper about adversarial decomposition has been fully accepted by IEEE Trans. on Cybernetics (TCYB). Congratulations!

  • [Aug. 30, 2018] We are pleased to release the source code of C-TAEA, the constrained EMO algorithms developed in our recent paper. Please feel free to download this code for your experimental purpose. Bug reports are more than welcome.

  • [Aug. 5, 2018] The slides of our tutorial on decomposition multi-objective optimisation has been updated and you can find it from here].

  • [Aug. 3, 2018] Finally, our paper about learning to decompose has been fully accepted by IEEE Trans. on Evolutionary Computation (TEVC). Congratulations!

  • [Jul. 20, 2018] Mengyuan has secured an offer as a research scientist in Huawei. Well done and congratulations! All the very best wishes to your career in industry!

  • [Jul. 14, 2018] After a minor fix, our paper about preference incorporation in MOEA/D has been finally accepted by IEEE Trans. on Cybernetics (TCYB). Congratulations!

  • [Jun. 19, 2018] Our paper about constrained multi-objective optimisation has been accepted by IEEE Trans. on Evolutionary Computation (TEVC). Congratulations!

  • [Jun. 11, 2018] Our paper about learning to decompose has been conditionally accepted by IEEE Trans. on Evolutionary Computation (TEVC) subjected to some minor justifications. Congratulations!

  • [Jun. 5, 2018] Our paper about preference incorporation in MOEA/D has been conditionally accepted by IEEE Trans. on Cybernetics (TCYB) subjected to a length issue. Congratulations!

  • [Apr. 3, 2018] Our paper about self-adaptive software configuration has been accepted by ACM Trans. on Software Engineering and Methodology (TOSEM). Congratulations!

  • [Mar. 29, 2018] We very welcome Mr. Dongya Wang who joins us for his PhD.

  • [Mar. 21, 2018] Grateful to receive a Royal Society award.

  • [Mar. 9, 2018] Mengyuan has successfully passed his viva with a minor revision. Congratulations to Mengyuan, well done! All the very best wishes to your future career!

  • [Mar. 5, 2018] We are collaborating with the researchers from INRIA (France) to organise the 1st Workshop on Decomposition Techniques in Evolutionary Optimization (DTEO) at GECCO 2018. The submission deadline is March 27, 2018. Please consider submitting your best work to this workshop!

  • [Mar. 1, 2018] We very welcome Mr. Savas Yuec who joins us for his PhD.

  • [Jan. 3, 2018] We plan to change the name of group to Computational Optimization for Learning and Adaptive Systems Laboratory since 2018. The main theme of our lab lies in the intersection between computational optimization and machine learning. More descriptions on the on-going projects will be online soon.

More previous news can be found here.

Contact

Dr. Ke Li
College of Engineering, Mathematics and Physical Sciences
Innovation Centre A1-D, Streatham Campus
University of Exeter
North Park Road, Exeter, UK, EX4 4QF
Tel: +(44) 0139-272-4557