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ORCIDMalcolm I. Heywood
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- affiliation: Dalhousie University, Nova Scotia, Canada
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2020 – today
- 2023
[c124]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: 133-148- 2022
- [j30]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): 15-27 (2022) - [c123]Mihyar Al Masalma, Malcolm I. Heywood:
Genetic programming with external memory in sequence recall tasks. GECCO Companion 2022: 518-521 - [c122]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: 522-525 - [c121]Benjamin Portman, Malcolm I. Heywood:
On the interaction between lexicase selection, modularity and data subsets. GECCO Companion 2022: 586-589 - [i1]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 abs/2211.15621 (2022) - 2021
- [j29]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): 35-72 (2021) - [j28]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): 11:1-11:41 (2021) - [c120]Rafael Copstein, Jeff Schwartzentruber, Nur Zincir-Heywood, Malcolm I. Heywood:
Log Abstraction for Information Security: Heuristics and Reproducibility. ARES 2021: 93:1-93:10 - [c119]Robert J. Smith, Ryan Amaral, Malcolm I. Heywood:
Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. CEC 2021: 2061-2068 - [c118]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: 111-119 - [c117]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Training regime influences to semi-supervised learning for insider threat detection. SP (Workshops) 2021: 13-18 - 2020
- [j27]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): 30-44 (2020) - [c116]Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. GECCO Companion 2020: 832-858
2010 – 2019
- 2019
- [j26]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): 15-52 (2019) - [c115]Robert J. Smith, Malcolm I. Heywood:
A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks. EuroGP 2019: 162-177 - [c114]Robert J. Smith, Malcolm I. Heywood:
Evolving dota 2 shadow fiend bots using genetic programming with external memory. GECCO 2019: 179-187 - [c113]Duc C. Le, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Benchmarking genetic programming in dynamic insider threat detection. GECCO (Companion) 2019: 385-386 - [c112]Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. GECCO (Companion) 2019: 975-1001 - [c111]Robert J. Smith, Malcolm I. Heywood:
Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. GPTP 2019: 345-366 - [c110]Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Network Analytics for Streaming Traffic Analysis. IM 2019: 25-30 - [c109]Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. SSCI 2019: 2579-2586 - 2018
- [j25]Stephen Kelly, Malcolm I. Heywood:
Emergent Solutions to High-Dimensional Multitask Reinforcement Learning. Evol. Comput. 26(3) (2018) - [j24]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: 123-140 (2018) - [j23]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): 195-208 (2018) - [c108]Robert J. Smith, Malcolm I. Heywood:
Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. EuroGP 2018: 135-150 - [c107]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: 21-22 - [c106]Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. GECCO (Companion) 2018: 880-906 - [c105]Duc C. Le, Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Benchmarking evolutionary computation approaches to insider threat detection. GECCO 2018: 1286-1293 - [c104]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: 1632-1639 - [c103]Stephen Kelly, Robert J. Smith, Malcolm I. Heywood:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. GPTP 2018: 37-57 - [c102]Stephen Kelly, Malcolm I. Heywood:
Emergent Tangled Program Graphs in Multi-Task Learning. IJCAI 2018: 5294-5298 - [c101]Sara Khanchi, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Streaming Botnet traffic analysis using bio-inspired active learning. NOMS 2018: 1-6 - 2017
- [c100]Stephen Kelly, Malcolm I. Heywood:
Emergent Tangled Graph Representations for Atari Game Playing Agents. EuroGP 2017: 64-79 - [c99]Stephen Kelly, Malcolm I. Heywood:
Multi-task learning in Atari video games with emergent tangled program graphs. GECCO 2017: 195-202 - [c98]Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. GECCO (Companion) 2017: 782-806 - [c97]Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Properties of a GP active learning framework for streaming data with class imbalance. GECCO 2017: 945-952 - [c96]Robert J. Smith, Malcolm I. Heywood:
Coevolving deep hierarchies of programs to solve complex tasks. GECCO 2017: 1009-1016 - [c95]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: 1447-1454 - 2016
- [c94]Sara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood:
On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. EuroGP 2016: 35-50 - [c93]Krzysztof Krawiec, Malcolm I. Heywood:
Solving Complex Problems with Coevolutionary Algorithms. GECCO (Companion) 2016: 687-713 - [c92]Robert J. Smith, Stephen Kelly, Malcolm I. Heywood:
Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment. GECCO 2016: 789-796 - [c91]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: 969-976 - [c90]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: 1095-1102 - [c89]Deepthi Rajashekar, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. ICDM Workshops 2016: 319-326 - [c88]Alexander Loginov, Malcolm I. Heywood, Garnett Carl Wilson:
Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset. IJCNN 2016: 2834-2841 - [c87]Jessica P. C. Bonson, Andrew R. McIntyre, Malcolm I. Heywood:
On novelty driven evolution in Poker. SSCI 2016: 1-8 - [c86]Duc C. Le, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Data analytics on network traffic flows for botnet behaviour detection. SSCI 2016: 1-7 - [e3]Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim:
Genetic Programming - 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings. Lecture Notes in Computer Science 9594, Springer 2016, ISBN 978-3-319-30667-4 [contents] - 2015
- [j22]Malcolm I. Heywood:
Evolutionary model building under streaming data for classification tasks: opportunities and challenges. Genet. Program. Evolvable Mach. 16(3): 283-326 (2015) - [c85]Alexander Loginov, Garnett Carl Wilson, Malcolm I. Heywood:
Better trade exits for foreign exchange currency trading using FXGP. CEC 2015: 2510-2517 - [c84]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: 284-298 - [c83]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: 126-138 - [c82]Malcolm I. Heywood, Krzysztof Krawiec:
Solving Complex Problems with Coevolutionary Algorithms. GECCO (Companion) 2015: 547-573 - [c81]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: 1143-1150 - [c80]Eray Balkanli, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Feature selection for robust backscatter DDoS detection. LCN Workshops 2015: 611-618 - [e2]Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim:
Genetic Programming - 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings. Lecture Notes in Computer Science 9025, Springer 2015, ISBN 978-3-319-16500-4 [contents] - [r1]Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets: A Benchmarking Study. Handbook of Genetic Programming Applications 2015: 451-480 - 2014
- [j21]Ali Vahdat, Malcolm I. Heywood:
On evolutionary subspace clustering with symbiosis. Evol. Intell. 6(4): 229-256 (2014) - [c79]Stephen Kelly, Malcolm I. Heywood:
Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task. AAAI 2014: 3110-3111 - [c78]Stephen Kelly, Malcolm I. Heywood:
On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. EuroGP 2014: 75-86 - [c77]Alexander Loginov, Malcolm I. Heywood:
On Evolving Multi-agent FX Traders. EvoApplications 2014: 203-214 - [c76]Fariba Haddadi, Dylan Runkel, A. Nur Zincir-Heywood, Malcolm I. Heywood:
On botnet behaviour analysis using GP and C4.5. GECCO (Companion) 2014: 1253-1260 - [c75]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: 1287-1294 - [e1]Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Kevin Sim:
Genetic Programming - 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8599, Springer 2014, ISBN 978-3-662-44302-6 [contents] - 2013
- [c74]Alexander Loginov, Malcolm I. Heywood:
On the Utility of Trading Criteria Based Retraining in Forex Markets. EvoApplications 2013: 192-202 - [c73]Jazz Alyxzander Turner-Baggs, Malcolm I. Heywood:
On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality. EvoApplications 2013: 489-498 - [c72]Fariba Haddadi, Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Malicious Automatically Generated Domain Name Detection Using Stateful-SBB. EvoApplications 2013: 529-539 - [c71]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: 159-160 - [c70]Ali Vahdat, Malcolm I. Heywood:
Flat vs. symbiotic evolutionary subspace clusterings. GECCO (Companion) 2013: 161-162 - [c69]Aaron Atwater, Malcolm I. Heywood:
Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age. GECCO 2013: 885-892 - [c68]Alexander Loginov, Malcolm I. Heywood:
On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study. GECCO 2013: 1341-1348 - 2012
- [j20]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): 71-101 (2012) - [c67]Stephen Kelly, Peter Lichodzijewski, Malcolm I. Heywood:
On run time libraries and hierarchical symbiosis. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c66]Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Symbiotic evolutionary subspace clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c65]Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Network Protocol Discovery and Analysis via Live Interaction. EvoApplications 2012: 11-20 - [c64]John A. Doucette, Peter Lichodzijewski, Malcolm I. Heywood:
Hierarchical task decomposition through symbiosis in reinforcement learning. GECCO 2012: 97-104 - [c63]Aaron Atwater, Malcolm I. Heywood, A. Nur Zincir-Heywood:
GP under streaming data constraints: a case for pareto archiving? GECCO 2012: 703-710 - 2011
- [j19]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): 4366-4383 (2011) - [j18]Andrew R. McIntyre, Malcolm I. Heywood:
Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. Evol. Comput. 19(1): 137-166 (2011) - [j17]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): 243-266 (2011) - [c62]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: 468-475 - [c61]Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Exploring the state space of an application protocol: A case study of SMTP. CICS 2011: 152-159 - [c60]Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Genetic optimization and hierarchical clustering applied to encrypted traffic identification. CICS 2011: 194-201 - 2010
- [c59]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: 1-8 - [c58]Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Bottom-up evolutionary subspace clustering. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c57]John A. Doucette, Malcolm I. Heywood:
Novelty-Based Fitness: An Evaluation under the Santa Fe Trail. EuroGP 2010: 50-61 - [c56]Malcolm I. Heywood, Peter Lichodzijewski:
Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review. EvoApplications (1) 2010: 51-60 - [c55]Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Using Code Bloat to Obfuscate Evolved Network Traffic. EvoApplications (2) 2010: 101-110 - [c54]Peter Lichodzijewski, Malcolm I. Heywood:
Symbiosis, complexification and simplicity under GP. GECCO 2010: 853-860
2000 – 2009
- 2009
- [c53]Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka:
Generating mimicry attacks using genetic programming: A benchmarking study. CICS 2009: 136-143 - [c52]H. Gunes Kayack, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka:
Optimizing anomaly detector deployment under evolutionary black-box vulnerability testing. CISDA 2009: 1-8 - [c51]Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Evolving TCP/IP packets: A case study of port scans. CISDA 2009: 1-8 - [c50]Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood:
An Investigation of Multi-objective Genetic Algorithms for Encrypted Traffic Identification. CISIS 2009: 93-100 - [c49]Robert Curry, Malcolm I. Heywood:
One-Class Genetic Programming. EuroGP 2009: 1-12 - [c48]Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka:
Testing Detector Parameterization Using Evolutionary Exploit Generation. EvoWorkshops 2009: 105-110 - [c47]Jacek Wolkowicz, Malcolm I. Heywood, Vlado Keselj:
Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation. EvoWorkshops 2009: 603-608 - [c46]John A. Doucette, Peter Lichodzijewski, Malcolm I. Heywood:
Benchmarking coevolutionary teaming under classification problems with large attribute spaces. GECCO 2009: 1901-1902 - [c45]Farzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood:
Evolutionary clustering with arbitrary subspaces. GECCO 2009: 1913-1914 - [c44]Riyad Alshammari, Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Classifying SSH encrypted traffic with minimum packet header features using genetic programming. GECCO (Companion) 2009: 2539-2546 - 2008
- [j16]Peter Lichodzijewski, Malcolm I. Heywood:
Coevolutionary bid-based genetic programming for problem decomposition in classification. Genet. Program. Evolvable Mach. 9(4): 331-365 (2008) - [c43]John A. Doucette, Malcolm I. Heywood:
GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. EuroGP 2008: 266-277 - [c42]Andrew R. McIntyre, Malcolm I. Heywood:
Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. EuroGP 2008: 289-300 - [c41]Peter Lichodzijewski, Malcolm I. Heywood:
Managing team-based problem solving with symbiotic bid-based genetic programming. GECCO 2008: 363-370 - 2007
- [j15]Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood:
A hierarchical SOM-based intrusion detection system. Eng. Appl. Artif. Intell. 20(4): 439-451 (2007) - [j14]Garnett Carl Wilson, Malcolm I. Heywood:
Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. Genet. Program. Evolvable Mach. 8(2): 187-220 (2007) - [j13]Garnett Carl Wilson, Malcolm I. Heywood:
Foundations for an intelligent business logic engine using genetic programming and RuleML-based services. Int. J. Bus. Process. Integr. Manag. 2(4): 282-291 (2007) - [j12]Robert Curry, Peter Lichodzijewski, Malcolm I. Heywood:
Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection. IEEE Trans. Syst. Man Cybern. Part B 37(4): 1065-1073 (2007) - [c40]Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Automatically Evading IDS Using GP Authored Attacks. CISDA 2007: 153-160 - [c39]Peter Lichodzijewski, Malcolm I. Heywood:
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. EuroGP 2007: 137-147 - [c38]Michal Lemczyk, Malcolm I. Heywood:
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach. EuroGP 2007: 229-240 - [c37]Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood:
Evolving Buffer Overflow Attacks with Detector Feedback. EvoWorkshops 2007: 11-20 - [c36]Peter Lichodzijewski, Malcolm I. Heywood:
Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. GECCO 2007: 464-471 - [c35]Garnett Carl Wilson, Malcolm I. Heywood:
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. GECCO 2007: 1053-1061 - [c34]Ozge Yeloglu, A. Nur Zincir-Heywood, Malcolm I. Heywood:
Growing recurrent self organizing map. SMC 2007: 290-295 - [c33]Andrew R. McIntyre, Malcolm I. Heywood:
Multi-objective competitive coevolution for efficient GP classifier problem decomposition.