Publications

The following incomplete and typically belated publication list serves the principle purpose of providing an electronic copy for academic purposes of published peer reviewed research. Some differences will undoubtedly appear between the local academic copy and the published articles... enjoy!

For complete and up-to-date declaration of research please see:

2023

Zhilei Zhou, Ziyu Qiu, Brad Niblett, Andrew Johnston, Jeffrey Schwartzentruber, Nur Zincir-Heywood, Malcolm Heywood (pdf)
A Boosting Approach to Constructing an Ensemble StackEuroGP LNCS 13986:133--248

2022

Mihyar Al Masalma, Malcolm Heywood (pdf)
Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks Genetic programming and evolvable machines

2021

Stephen Kelly, Robert J. Smith, Malcolm Heywood, Wolfgang Banzhaf (pdf)
Emergent tangled program graphs in partially observable recursive forecasting ans ViZDoom navigation tasks ACM Transactions on Evolutionary Learning and Optimization 1(3)
Alexandru Ianta, Ryan Amaral, Caleidgh Bayer, Robert J. Smith, Malcolm Heywood (pdf)
On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark ACM GECCO: 111-119

2020

Duc Le, Nur Zincir-Heywood, Malcolm Heywood (pdf)
Analysing data granularity levels for insider threat detection using machine learning IEEE Transactions on Network and Service Management 17(1)
Alexander Loginov, Malcolm Heywood (pdf)
On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock tradingThe North American Journal of Economics and Finance 54
Alexander Loginov, Malcolm Heywood (pdf) Stock selection heuristics for performing frequent intraday trading with genetic programming Genetic Programming and Evolvable Machines

2019

Duc Le, Nur Zincir-Heywood, Malcolm Heywood (pdf)
Unsupervised monitoring of network and service behaviour using self organizing maps Journal of Cyber Security and Mobility 8 (1)
Duc Le, Nur Zincir-Heywood and Malcolm Heywood (pdf)
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming IEEE Symposium Series on Computational Intelligence (SSCI) pp. 2579-2586
Stephen Kelly, Robert Smith, Malcolm Heywood (pdf)
Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial Genetic Programming Theory and Practice XVI, Springer
Robert Smith, Malcolm Heywood (pdf)
Evolving Dota 2 Shadow Fiend Bots using Genetic Programming with External Memory ACM GECCO: 179-186 Nominated for Best Paper - DETA Track
Sara Khanchi, Nur Zincir-Heywood, Malcolm Heywood (pdf)
Network analytics for streaming traffic analysis IFIP/IEEE International Symposium on Integrated Network Management

2018

Stephen Kelly, Malcolm Heywood (pdf)
Emergent solutions to high-dimensional multi-task reinforcement learning Evolutionary Computation. 26(3) Silver placed at Human-Competitive (Humies) Competition
Stephen Kelly, Malcolm Heywood (pdf)
Discovering agent behaviours through code reuse: Examples from half-field offense and Ms.Pac-Man IEEE Transactions on Games. 10(2): 195-208
Sara Khanchi, Ali Vahdat, Malcolm Heywood, Nur Zincir-Heywood (pdf)
On botnet detection with genetic programming under streaming data, label budgets and class imbalance Swarm and Evolutionary Computation. 39:123-140
Samuel Champagne, Tokunbo Makanju, Chengchao Yao, Nur Zincir-Heywood, Malcolm Heywood (pdf)
A genetic algorithm for dynamic controller placement in Softward Defined networking SecDef Workshop at ACM Genetic and Evolutionary Computation Conference
Duc C. Le, Sara Khanchi, Nur Zincir-Heywood, Malcolm Heywood (pdf)
Benchmarking Evolutionary Computation approaches to Insider Threat Detection ACM GECCO: 1286-1293 Best Paper - RWA track
Sara Khanchi, Nur Zincir-Heywood, Malcolm Heywood (pdf)
Streaming Botnet traffic analysis using bio-inspired active learning IEEE/IFIP NOPS: 1-6
Shephen Kelly, Malcolm Heywood (pdf)
Emergent Tangled Program Graphs in Multi-task Learning Int. Joint Conference on Artificial Intelligence: 5294-5298 Invited Paper
Robert J. Smith, Malcolm Heywood (pdf)
Scaling tangled program graphs to visual reinforcement learning in VizDoom EuroGP, LNCS 10781:135--150

2017

Stephen Kelly, Malcolm Heywood (pdf)
Emergent tangled graph representations for Atari game playing agents EuroGP, LNCS 10196:64--79.
For slides and animation visit Stephen Kelly's homepage. Best Paper - EuroGP
Stephen Kelly, Malcolm Heywood (pdf)
Multi-task learning in Atari video games with emergent tangled program graphs ACM GECCO: 195-202 Best Paper - DETA track
Sara Khanchi, Malcolm Heywood, Nur Zincir-Heywood (pdf)
Properties of a GP active learning framework for streaming data with class imbalance ACM GECCO: 945-952
Robert Smith, Malcolm Heywood (pdf)
Coevolving deep hierarchies of programs to solve complex tasks ACM GECCO: 1009-1016
Olivia Lucca Fraser, Nur Zincir-Heywood, Malcolm Heywood, John T. Jacobs (pdf)
Return-orientated programme evolution with ROPER: a proof of concept ACM GECCO (SecDef Workshop): 1447-1454

2016

Jessica Bonson, Andrew McIntyre, Malcolm Heywood (pdf)
On novelty driven evolution in Poker IEEE SSCI.
Sara Khanchi, Malcolm Heywood, Nur Zincir-Heywood (pdf)
On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. EuroGP, LNCS 9594:35-50.
Robert Smith, Stephen Kelly, Malcolm Heywood (pdf)
Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment ACM GECCO: 789-796
Jessica Bonson, Stephen Kelly, Andrew McIntyre, Malcolm Heywood (pdf)
On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GP ACM GECCO (Companion): 969-976
Robert Smith, Nur Zincir-Heywood, Malcolm Heywood, John Jacobs (pdf)
Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. ACM GECCO (Companion): 1095-1102
Alexander Loginov, Malcolm Heywood, Garnett Wilson (pdf)
Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset IEEE IJCNN: 2834-2841

2015

Malcolm Heywood (pdf)
Evolutionary model building under streaming data for classification tasks: opportunities and challenges Genetic Programming and Evolvable Machines 16(3):283-326
Ali Vahdat, Jillian Morgan, Andrew McIntyre, Malcolm Heywood, Nur Zincir-Heywood (pdf)
Evolving GP classifiers for streaming data tasks with concept change and label budgets: A benchmarking study Chapter 18, Gandomi et al (eds), Handbook of Genetic Programming Applications. Springer.
Alexander Loginov, Garnett Wilson, Malcolm Heywood (pdf)
Better Trade Exits for Foreign Exchange Currency Trading using FXGP. IEEE CEC: 2510-2517
Ali Vahdat, Jillian Morgan, Andrew McIntyre, Malcolm Heywood, Nur Zincir-Heywood (pdf)
Tapped Delay Lines for GP Streaming Data Classification with Label Budgets EuroGP. LNCS 9025:126-138
Stephen Kelly, Malcolm Heywood (pdf)
Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task ACM GECCO: 1143-1150

2014

Ali Vahdat, Malcolm Heywood (pdf)
On evolutionary subspace clustering with symbiosis Evolutionary Intelligence 6(4): 229-256
Stephen Kelly, Malcolm Heywood (pdf)
On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task EuroGP, LNCS 8599: 75-86
Alexander Loginov, Malcolm Heywood (pdf)
On Evolving Multi-agent FX Traders EvoAPPS, LNCS 8602: 203-214
Fariba Haddadi, Dylan Runkel, Nur Zincir-Heywood, Malcolm Heywood (pdf)
On botnet behaviour analysis using GP and C4.5 ACM GECCO (Companion):1253-1260
Ali Vahdat, Aaron Atwater, Andrew McIntyre, Malcolm Heywood (pdf)
On the application of GP to streaming data classification tasks with label budgets ACM GECCO (Companion): 1287-1294

2013

Alexander Loginov, Malcolm Heywood (pdf)
On the utility of trading criteria based retraining in Forex markets EvoAPPS, LNCS 7835:192-202
Aaron Atwater, Malcolm Heywood (pdf)
Benchmarking Pareto archiving heuristics in the presence of concept drift: diversity versus age ACM GECCO:885-892
Alexander Loginov, Malcolm Heywood (pdf)
On the impact of streaming interface heuristics on GP trading agents: An FX bechmarking study ACM GECCO:1341-1348

2012

John Doccette, Andrew McIntyre, Peter Lichodzijewski, Malcolm Heywood (pdf)
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces Genetic Programming and Evolvable Machines 13(1): 71-101
Stephen Kelly, Peter Lichodzijewski, Malcolm Heywood (pdf)
On run time libraries and hierarchical symbiosis IEEE CEC:1-8
Ali Vahdat, Malcolm Heywood, Nur Zincir-Heywood (pdf)
Symbiotic evolutionary subspace clustering IEEE CEC:1-8
John Doccette, Peter Lichodzijewski, Malcolm Heywood (pdf)
Hierarchical task decomposition through symbiosis in reinforcement learning ACM GECCO:97-104
Aaron Atwater, Malcolm Heywood, Nur Zincir-Heywood (pdf)
GP under streaming data constraints: a case for pareto archiving? ACM GECCO:703-710