Malcolm I. Heywood

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 58

Top Venues

University of Essex, Colchester, UK (PHD)

Education History

University of Essex, Colchester, UK

PHD

Publications

Noah Sealy, Malcolm I. Heywood
Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept. CEC (2024)
Ziyu Qiu, Zhilei Zhou, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. Int. J. Netw. Manag. 34 (1) (2024)
Egil Karlsen, Xiao Luo, Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. J. Netw. Syst. Manag. 32 (3) (2024)
Zhilei Zhou, Nur Zincir-Heywood, Malcolm I. Heywood
Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks. EvoApplications@EvoStar (2024)
Robert J. Smith, Malcolm I. Heywood
Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks. IEEE Trans. Artif. Intell. 5 (4) (2024)
Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood
Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth. CoRR (2024)
Malcolm I. Heywood
W. B. Langdon "Jaws 30". Genet. Program. Evolvable Mach. 24 (2) (2023)
Rafael Copstein, Brad Niblett, Andrew Johnston, Jeff Schwartzentruber, Malcolm I. Heywood, Nur Zincir-Heywood
MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. CNSM (2023)
Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
A Boosting Approach to Constructing an Ensemble Stack. EuroGP (2023)
Egil Karlsen, Xiao Luo, Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. CoRR (2023)
Ryan Amaral, Alexandru Ianta, Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood
Benchmarking genetic programming in a multi-action reinforcement learning locomotion task. GECCO Companion (2022)
Rafael Copstein, Egil Karlsen, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
Exploring syntactical features for anomaly detection in application logs. it Inf. Technol. 64 (1-2) (2022)
Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
A Boosting Approach to Constructing an Ensemble Stack. CoRR (2022)
Mihyar Al Masalma, Malcolm I. Heywood
Genetic programming with external memory in sequence recall tasks. GECCO Companion (2022)
Benjamin Portman, Malcolm I. Heywood
On the interaction between lexicase selection, modularity and data subsets. GECCO Companion (2022)
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood, Wolfgang Banzhaf
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. ACM Trans. Evol. Learn. Optim. 1 (3) (2021)
Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood
Training regime influences to semi-supervised learning for insider threat detection. SP Workshops (2021)
Alexandru Ianta, Ryan Amaral, Caleidgh Bayer, Robert J. Smith, Malcolm I. Heywood
On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark. GECCO (2021)
Robert J. Smith, Ryan Amaral, Malcolm I. Heywood
Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. CEC (2021)
Alexander Loginov, Malcolm I. Heywood, Garnett Carl Wilson
Stock selection heuristics for performing frequent intraday trading with genetic programming. Genet. Program. Evolvable Mach. 22 (1) (2021)
Rafael Copstein, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood
Log Abstraction for Information Security: Heuristics and Reproducibility. ARES (2021)
Caleidgh Bayer, Ryan Amaral, Robert J. Smith, Alexandru Ianta, Malcolm I. Heywood
Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs. GPTP (2021)
Krzysztof Krawiec, Malcolm I. Heywood
Solving complex problems with coevolutionary algorithms. GECCO Companion (2020)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. IEEE Trans. Netw. Serv. Manag. 17 (1) (2020)
Robert J. Smith, Malcolm I. Heywood
Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. GPTP (2019)
Robert J. Smith, Malcolm I. Heywood
Evolving dota 2 shadow fiend bots using genetic programming with external memory. GECCO (2019)
Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Network Analytics for Streaming Traffic Analysis. IM (2019)
Krzysztof Krawiec, Malcolm I. Heywood
Solving complex problems with coevolutionary algorithms. GECCO (Companion) (2019)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps. J. Cyber Secur. Mobil. 8 (1) (2019)
Duc C. Le, Malcolm I. Heywood, A. Nur Zincir-Heywood
Benchmarking genetic programming in dynamic insider threat detection. GECCO (Companion) (2019)
Robert J. Smith, Malcolm I. Heywood
A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks. EuroGP (2019)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. SSCI (2019)
Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
On botnet detection with genetic programming under streaming data, label budgets and class imbalance. GECCO (Companion) (2018)
Duc C. Le, Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking evolutionary computation approaches to insider threat detection. GECCO (2018)
Robert J. Smith, Malcolm I. Heywood
Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. EuroGP (2018)
Stephen Kelly, Malcolm I. Heywood
Emergent Tangled Program Graphs in Multi-Task Learning. IJCAI (2018)
Sara Khanchi, Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
On botnet detection with genetic programming under streaming data label budgets and class imbalance. Swarm Evol. Comput. 39 (2018)
Stephen Kelly, Malcolm I. Heywood
Emergent Solutions to High-Dimensional Multitask Reinforcement Learning. Evol. Comput. 26 (3) (2018)
Stephen Kelly, Robert J. Smith, Malcolm I. Heywood
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. GPTP (2018)
Samuel Champagne, Tokunbo Makanju, Chengchao Yao, A. Nur Zincir-Heywood, Malcolm I. Heywood
A genetic algorithm for dynamic controller placement in software defined networking. GECCO (Companion) (2018)
Stephen Kelly, Malcolm I. Heywood
Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man. IEEE Trans. Games 10 (2) (2018)
Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood
Streaming Botnet traffic analysis using bio-inspired active learning. NOMS (2018)
Krzysztof Krawiec, Malcolm I. Heywood
Solving complex problems with coevolutionary algorithms. GECCO (Companion) (2018)
Olivia Lucca Fraser, A. Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs
Return-oriented programme evolution with ROPER: a proof of concept. GECCO (Companion) (2017)
Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood
Properties of a GP active learning framework for streaming data with class imbalance. GECCO (2017)
Robert J. Smith, Malcolm I. Heywood
Coevolving deep hierarchies of programs to solve complex tasks. GECCO (2017)
Stephen Kelly, Malcolm I. Heywood
Emergent Tangled Graph Representations for Atari Game Playing Agents. EuroGP (2017)
Krzysztof Krawiec, Malcolm I. Heywood
Solving complex problems with coevolutionary algorithms. GECCO (Companion) (2017)
Stephen Kelly, Malcolm I. Heywood
Multi-task learning in Atari video games with emergent tangled program graphs. GECCO (2017)
Krzysztof Krawiec, Malcolm I. Heywood
Solving Complex Problems with Coevolutionary Algorithms. GECCO (Companion) (2016)
Deepthi Rajashekar, A. Nur Zincir-Heywood, Malcolm I. Heywood
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. ICDM Workshops (2016)
Jessica P. C. Bonson, Stephen Kelly, Andrew R. McIntyre, Malcolm I. Heywood
On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GP. GECCO (Companion) (2016)
Robert J. Smith, Stephen Kelly, Malcolm I. Heywood
Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment. GECCO (2016)
Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood
Data analytics on network traffic flows for botnet behaviour detection. SSCI (2016)
Robert J. Smith, Ayse Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs
Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. GECCO (Companion) (2016)
Jessica P. C. Bonson, Andrew R. McIntyre, Malcolm I. Heywood
On novelty driven evolution in Poker. SSCI (2016)
Alexander Loginov, Malcolm I. Heywood, Garnett Carl Wilson
Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset. IJCNN (2016)
Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood
On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. EuroGP (2016)
Serdar Baran Tatar, Andrew R. McIntyre, A. Nur Zincir-Heywood, Malcolm I. Heywood
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks. Discovery Science (2015)
Eray Balkanli, A. Nur Zincir-Heywood, Malcolm I. Heywood
Feature selection for robust backscatter DDoS detection. LCN Workshops (2015)
Stephen Kelly, Malcolm I. Heywood
Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task. GECCO (2015)
Malcolm I. Heywood, Krzysztof Krawiec
Solving Complex Problems with Coevolutionary Algorithms. GECCO (Companion) (2015)
Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood
Tapped Delay Lines for GP Streaming Data Classification with Label Budgets. EuroGP (2015)
Alexander Loginov, Garnett Carl Wilson, Malcolm I. Heywood
Better trade exits for foreign exchange currency trading using FXGP. CEC (2015)
Malcolm I. Heywood
Evolutionary model building under streaming data for classification tasks: opportunities and challenges. Genet. Program. Evolvable Mach. 16 (3) (2015)
Alexander Loginov, Malcolm I. Heywood
On Evolving Multi-agent FX Traders. EvoApplications (2014)
Stephen Kelly, Malcolm I. Heywood
Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task. AAAI (2014)
Stephen Kelly, Malcolm I. Heywood
On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. EuroGP (2014)
Fariba Haddadi, Dylan Runkel, A. Nur Zincir-Heywood, Malcolm I. Heywood
On botnet behaviour analysis using GP and C4.5. GECCO (Companion) (2014)
Ali Vahdat, Aaron Atwater, Andrew R. McIntyre, Malcolm I. Heywood
On the application of GP to streaming data classification tasks with label budgets. GECCO (Companion) (2014)
Ali Vahdat, Malcolm I. Heywood
On evolutionary subspace clustering with symbiosis. Evol. Intell. 6 (4) (2014)
Jazz Alyxzander Turner-Baggs, Malcolm I. Heywood
On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality. EvoApplications (2013)
Alexander Loginov, Malcolm I. Heywood
On the Utility of Trading Criteria Based Retraining in Forex Markets. EvoApplications (2013)
Ali Vahdat, Malcolm I. Heywood
Flat vs. symbiotic evolutionary subspace clusterings. GECCO (Companion) (2013)
Aaron Atwater, Malcolm I. Heywood
Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age. GECCO (2013)
Sara Rahimi, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood
Label free change detection on streaming data with cooperative multi-objective genetic programming. GECCO (Companion) (2013)
Alexander Loginov, Malcolm I. Heywood
On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study. GECCO (2013)
Fariba Haddadi, Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
Malicious Automatically Generated Domain Name Detection Using Stateful-SBB. EvoApplications (2013)
Stephen Kelly, Peter Lichodzijewski, Malcolm I. Heywood
On run time libraries and hierarchical symbiosis. IEEE Congress on Evolutionary Computation (2012)
John A. Doucette, Andrew R. McIntyre, Peter Lichodzijewski, Malcolm I. Heywood
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces. Genet. Program. Evolvable Mach. 13 (1) (2012)
Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood
Network Protocol Discovery and Analysis via Live Interaction. EvoApplications (2012)
Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
Symbiotic evolutionary subspace clustering. IEEE Congress on Evolutionary Computation (2012)
John A. Doucette, Peter Lichodzijewski, Malcolm I. Heywood
Hierarchical task decomposition through symbiosis in reinforcement learning. GECCO (2012)
Aaron Atwater, Malcolm I. Heywood, A. Nur Zincir-Heywood
GP under streaming data constraints: a case for pareto archiving? GECCO (2012)
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood
Genetic optimization and hierarchical clustering applied to encrypted traffic identification. CICS (2011)
Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing. Evol. Intell. 4 (4) (2011)
Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood
Exploring the state space of an application protocol: A case study of SMTP. CICS (2011)
John A. Doucette, Malcolm I. Heywood
Revisiting the Acrobot 'height' task: An example of efficient evolutionary policy search under an episodic goal seeking task. IEEE Congress on Evolutionary Computation (2011)
Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
Can a good offense be a good defense? Vulnerability testing of anomaly detectors through an artificial arms race. Appl. Soft Comput. 11 (7) (2011)
Andrew R. McIntyre, Malcolm I. Heywood
Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. Evol. Comput. 19 (1) (2011)
Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood
Using Code Bloat to Obfuscate Evolved Network Traffic. EvoApplications (2) (2010)
Malcolm I. Heywood, Peter Lichodzijewski
Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review. EvoApplications (1) (2010)
Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood
Bottom-up evolutionary subspace clustering. IEEE Congress on Evolutionary Computation (2010)
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood
An analysis of clustering objectives for feature selection applied to encrypted traffic identification. IEEE Congress on Evolutionary Computation (2010)
Peter Lichodzijewski, Malcolm I. Heywood
Symbiosis, complexification and simplicity under GP. GECCO (2010)
John A. Doucette, Malcolm I. Heywood
Novelty-Based Fitness: An Evaluation under the Santa Fe Trail. EuroGP (2010)
Robert Curry, Malcolm I. Heywood
One-Class Genetic Programming. EuroGP (2009)
H. Gunes Kayack, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka
Optimizing anomaly detector deployment under evolutionary black-box vulnerability testing. CISDA (2009)
Farzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood
Evolutionary clustering with arbitrary subspaces. GECCO (2009)
John A. Doucette, Peter Lichodzijewski, Malcolm I. Heywood
Benchmarking coevolutionary teaming under classification problems with large attribute spaces. GECCO (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Malcolm I. Heywood