Browse by Supervisor

Chandra, Arjun (2011). A methodical framework for engineering co-evolution for simulating socio-economic game playing agents. University of Birmingham. Ph.D.

Consoli, Pietro A. (2018). Adaptive operator search for the capacitated arc routine problem. University of Birmingham. Ph.D.

Hammond, Simon P. (2007). Adaptive scaling of evolvable systems. University of Birmingham. Ph.D.

Arcuri, Andrea (2009). Automatic software generation and improvement through search based techniques. University of Birmingham. Ph.D.

Lu, Guanzhou (2014). Characterising fitness landscapes with fitness-probability cloud and its applications to algorithm configuration. University of Birmingham. Ph.D.

Soares, Rodrigo Gabriel Ferreira (2014). Cluster-based semi-supervised ensemble learning. University of Birmingham. Ph.D.

Nguyen, Trung Thanh (2011). Continuous dynamic optimisation using evolutionary algorithms. University of Birmingham. Ph.D.

Zhang, Shuyi (2023). Detecting changes in offline and online classification tasks. University of Birmingham. Ph.D.

Herring, Daniel ORCID: https://orcid.org/0000-0003-3825-0411 (2023). Dynamic multi-objective optimization using evolutionary algorithms. University of Birmingham. Ph.D.

Chen, Renzhi (2018). Dynamic multi-objective optimization: a two archive strategy. University of Birmingham. Ph.D.

Wang, Shuo (2011). Ensemble diversity for class imbalance learning. University of Birmingham. Ph.D.

Kent, Matthew Paul (2015). Estimating functional performance for use in the aesthetic design process. University of Birmingham. Ph.D.

Lewis, Peter Richard (2010). Evolutionary market-based resource allocation in decentralised computational systems. University of Birmingham. Ph.D.

Fu, Haobo (2014). Finding robust solutions against environmental changes. University of Birmingham. Ph.D.

Reed, Kate (2013). Improving aesthetic measures for evolutionary vase design. University of Birmingham. M.Res.

Serra, Giuseppe (2024). Improving the interpretability of machine learning approaches with user-generated data. University of Birmingham. Ph.D.

Friess, Stephen (2022). Inductive biases and metaknowledge representations for search-based optimization. University of Birmingham. Ph.D.

Song, Liyan (2019). Learning to cope with small noisy data in software effort estimation. University of Birmingham. Ph.D.

Saha, Sneha (2023). Learning-based generative representations for automotive design optimization. University of Birmingham. Ph.D.

Zhang, Liangpeng (2021). Model-based reinforcement learning with small sample size. University of Birmingham. Ph.D.

Nigar, Natasha (2021). Multi-objective dynamic software project scheduling: an evolutionary approach for uncertain environments. University of Birmingham. Ph.D.

Lu, Xiaofen (2018). Multi-species evolutionary algorithms for complex optimisation problems. University of Birmingham. Ph.D.

Minku, Leandro Lei (2011). Online ensemble learning in the presence of concept drift. University of Birmingham. Ph.D.

Robinson, Edward Robert (2011). Resource allocation via competing marketplaces. University of Birmingham. Ph.D.

Nguyen, Phan Trung Hai ORCID: https://orcid.org/0000-0003-0783-2224 (2021). Runtime analyses of univariate estimation of distribution algorithms under linearity, epistasis and deception. University of Birmingham. Ph.D.

Yu, Xunzhao (2023). Surrogate-assisted evolutionary algorithms for computationally expensive optimisation problems. University of Birmingham. Ph.D.

Jones, Benjamin Henry Demidecki (2010). The evolutionary emergence of neural organisation in computational models of primitive organisms. University of Birmingham. Ph.D.

Mambrini, Andrea (2015). Theory grounded design of genetic programming and parallel evolutionary algorithms. University of Birmingham. Ph.D.