Genetic Algorithms for Word Problems in Partially Commutative Groups. - Matthew J. Craven (EvoCOP, 2007)

An Evolutionary Algorithm for the Solution of Two-Variable Word Equations in Partially Commutative Groups. - Matthew J. Craven (Recent Advances in Evolutionary Computation for Combinatorial Optimization, 2008)

A Kolmogorov-Type Stability Measure for Evolutionary Algorithms. - Matthew J. Craven; Henri C. Jimbo (EvoCOP, 2011)

A dynamical model of cancer chemotherapy with disturbance. - Henri C. Jimbo; Matthew J. Craven (GECCO (Companion), 2012)

Evolutionary algorithm solution of the multiple conjugacy search problem in groups, and its applications to cryptography. - Matthew J. Craven; Henri C. Jimbo (Groups Complex. Cryptol., 2012)

Automated Counter-Terrorism. - Leslie Ball; Matthew J. Craven (EISIC, 2013)

An EA for portfolio selection over multiple investment periods with exponential transaction costs. - Matthew J. Craven; Henri C. Jimbo (GECCO (Companion), 2013)

EA stability visualization: perturbations, metrics and performance. - Matthew J. Craven; Henri C. Jimbo (GECCO (Companion), 2014)

E-business, recent threats and security countermeasures. - Sina Pournouri; Matthew J. Craven (Int. J. Electron. Secur. Digit. Forensics, 2014)

A parallel evolutionary approach to solving systems of equations in polycyclic groups. - Matthew J. Craven; Daniel Robertz (Groups Complex. Cryptol., 2016)

Exploring the (efficient) frontiers of portfolio optimization. - Matthew J. Craven; David I. Graham (GECCO (Companion), 2017)

BBIOS: a characterization of evolutionary algorithm stability. - Matthew J. Craven; Simon P. Martin (GECCO (Companion), 2017)

Exploring Botnet Evolution via Multidimensional Models and Visualisation. - William Dash; Matthew J. Craven (STM, 2017)

Toward the Online Visualisation of Algorithm Performance for Parameter Selection. - David J. Walker; Matthew J. Craven (EvoApplications, 2018)

Efficient frontiers in portfolio optimisation with minimum proportion constraints. - Tahani S. Alotaibi; Matthew J. Craven (GECCO (Companion), 2019)

A Structured Approach to Modifying Successful Heuristics. - Simon P. Martin; Matthew J. Craven; John R. Woodward (IJCCI, 2020)

Visualising Evolution History in Multi- and Many-objective Optimisation. - Mathew J. Walter; David J. Walker; Matthew J. Craven (PPSN (2), 2020)

Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach. - David J. Walker; Matthew J. Craven (Appl. Soft Comput., 2020)

An exact algorithm for small-cardinality constrained portfolio optimisation. - David I. Graham; Matthew J. Craven (J. Oper. Res. Soc., 2021)

An explainable visualisation of the evolutionary search process. - Mathew J. Walter; David J. Walker; Matthew J. Craven (GECCO Companion, 2022)

Evolution of group-theoretic cryptology attacks using hyper-heuristics. - Matthew J. Craven; John R. Woodward (J. Math. Cryptol., 2022)

Visualizing Population Dynamics to Examine Algorithm Performance. - Mathew J. Walter; David J. Walker; Matthew J. Craven (IEEE Trans. Evol. Comput., 2022)

Evaluating the Risks of Human Factors Associated with Social Media Cybersecurity Threats. - Fai Ben Salamah; Marco A. Palomino; Maria Papadaki; Matthew J. Craven; Steven Furnell (HAISA, 2023)

The Influence of Human Factors on Adaptive Social Media Cybersecurity Training and Education. - Fai Ben Salamah; Marco A. Palomino; Maria Papadaki; Matthew J. Craven; Steven Furnell (HAISA (2), 2024)

Many-objective optimisation of offshore wind farms. - Pawel L. Manikowski; Matthew J. Craven; David J. Walker (Appl. Soft Comput., 2025)