Learning and Optimisation

Focus:

The group aims to explore the synergy between machine learning and optimization to achieve collaborative effects in building highly efficient and smart systems.


Our methodological research concerns: metaheuristics for learning, data driven learning in optimization, real-time learning, data reduction and feature mining, learning and optimization under uncertainty.

We are also actively engaged in practical applications, to test and apply the new developed methods and algorithms in current challenging scenarios such as industrial or biomedical ones. The interesting application areas include (yet are not limited to) the following:

  • Machine learning and optimization in power devices and power systems
  • Real-time process monitoring (both in industry and health care)
  • Complex data analysis in biofeedback systems
  • Process automation and intelligent control systems
  • Behavior learning and control for autonomous robots
  • Cyber attack identification
  • Software testing 

[Show all publications]

Unbounded Sparse Census Transform using Genetic Algorithm (Jan 2019)
Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström
WACV 2019 - IEEE Winter Conference on Applications of Computer Vision (WACV'19)

Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation (Jul 2018)
Miguel Leon Ortiz, Ning Xiong
IEEE Congress on Evolutionary Computation (IEEE CEC'18)

MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE (Jul 2018)
Javier Ramos , Miguel Leon Ortiz, Ning Xiong
IEEE Congress on Evolutionary Computation (IEEE CEC'18)

MapReduce distributed highly random fuzzy forest for noisy big data (Jul 2017)
Faruk Mustafic , Ning Xiong, Francisco Herrera, Sergio Ramrez
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017 (ICNC-FSKD-2017)

Big data stream learning based hybridized Kalman filter and backpropagation through time (Jul 2017)
He Fan, Ning Xiong
13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery 2017 (ICNC-FSKD-2017)

Alopex-Based Mutation Strategy in Differential Evolution (Jun 2017)
Miguel Leon Ortiz, Ning Xiong
IEEE Congress on Evolutionary Computation 2017 (IEEE CEC'17)

Ning Xiong, Professor

Email: ning.xiong@mdh.se
Room: U1-126
Phone: +46-21-151716