Malcolm I. Heywood

Alexander Loginov, Malcolm I. Heywood: On the Utility of Trading Criteria Based Retraining in Forex Markets. EvoApplications 2013: 192-202

Jazz Alyxzander Turner-Baggs, Malcolm I. Heywood: On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality. EvoApplications 2013: 489-498

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

John Doucette, Andrew R. McIntyre, Peter Lichodzijewski, Malcolm I. Heywood: Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces. Genetic Programming and Evolvable Machines 13(1): 71-101 (2012)

Stephen Kelly, Peter Lichodzijewski, Malcolm I. Heywood: On run time libraries and hierarchical symbiosis. IEEE Congress on Evolutionary Computation 2012: 1-8

Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood: Symbiotic evolutionary subspace clustering. IEEE Congress on Evolutionary Computation 2012: 1-8

Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood: Network Protocol Discovery and Analysis via Live Interaction. EvoApplications 2012: 11-20

John Doucette, Peter Lichodzijewski, Malcolm I. Heywood: Hierarchical task decomposition through symbiosis in reinforcement learning. GECCO 2012: 97-104

Aaron Atwater, Malcolm I. Heywood, A. Nur Zincir-Heywood: GP under streaming data constraints: a case for pareto archiving? GECCO 2012: 703-710

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)

Andrew R. McIntyre, Malcolm I. Heywood: Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. Evolutionary Computation 19(1): 137-166 (2011)

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood: Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing. Evolutionary Intelligence 4(4): 243-266 (2011)

John 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

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

Ali Vahdat, Malcolm I. Heywood, A. Nur Zincir-Heywood: Bottom-up evolutionary subspace clustering. IEEE Congress on Evolutionary Computation 2010: 1-8

John Doucette, Malcolm I. Heywood: Novelty-Based Fitness: An Evaluation under the Santa Fe Trail. EuroGP 2010: 50-61

Malcolm I. Heywood, Peter Lichodzijewski: Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review. EvoApplications (1) 2010: 51-60

Patrick LaRoche, A. Nur Zincir-Heywood, Malcolm I. Heywood: Using Code Bloat to Obfuscate Evolved Network Traffic. EvoApplications (2) 2010: 101-110

Peter Lichodzijewski, Malcolm I. Heywood: Symbiosis, complexification and simplicity under GP. GECCO 2010: 853-860

Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. Heywood: An Investigation of Multi-objective Genetic Algorithms for Encrypted Traffic Identification. CISIS 2009: 93-100

Robert Curry, Malcolm I. Heywood: One-Class Genetic Programming. EuroGP 2009: 1-12

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood, Stefan Burschka: Testing Detector Parameterization Using Evolutionary Exploit Generation. EvoWorkshops 2009: 105-110

Jacek Wolkowicz, Malcolm I. Heywood, Vlado Keselj: Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation. EvoWorkshops 2009: 603-608

John Doucette, Peter Lichodzijewski, Malcolm I. Heywood: Benchmarking coevolutionary teaming under classification problems with large attribute spaces. GECCO 2009: 1901-1902

Farzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood: Evolutionary clustering with arbitrary subspaces. GECCO 2009: 1913-1914

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

Peter Lichodzijewski, Malcolm I. Heywood: Coevolutionary bid-based genetic programming for problem decomposition in classification. Genetic Programming and Evolvable Machines 9(4): 331-365 (2008)

John Doucette, Malcolm I. Heywood: GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. EuroGP 2008: 266-277

Andrew R. McIntyre, Malcolm I. Heywood: Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. EuroGP 2008: 289-300

Peter Lichodzijewski, Malcolm I. Heywood: Managing team-based problem solving with symbiotic bid-based genetic programming. GECCO 2008: 363-370

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood: A hierarchical SOM-based intrusion detection system. Eng. Appl. of AI 20(4): 439-451 (2007)

Garnett Carl Wilson, Malcolm I. Heywood: Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. Genetic Programming and Evolvable Machines 8(2): 187-220 (2007)

Robert Curry, Peter Lichodzijewski, Malcolm I. Heywood: Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(4): 1065-1073 (2007)

Peter Lichodzijewski, Malcolm I. Heywood: GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. EuroGP 2007: 137-147

Michal Lemczyk, Malcolm I. Heywood: Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach. EuroGP 2007: 229-240

Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood: Evolving Buffer Overflow Attacks with Detector Feedback. EvoWorkshops 2007: 11-20

Peter Lichodzijewski, Malcolm I. Heywood: Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. GECCO 2007: 464-471

Garnett Carl Wilson, Malcolm I. Heywood: Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. GECCO 2007: 1053-1061

Ozge Yeloglu, A. Nur Zincir-Heywood, Malcolm I. Heywood: Growing recurrent self organizing map. SMC 2007: 290-295

Andrew R. McIntyre, Malcolm I. Heywood: Multi-objective competitive coevolution for efficient GP classifier problem decomposition. SMC 2007: 1930-1937

Robert Curry, Malcolm I. Heywood: One-class learning with multi-objective genetic programming. SMC 2007: 1938-1945

Suihong Liang, A. Nur Zincir-Heywood, Malcolm I. Heywood: Adding more intelligence to the network routing problem: AntNet and Ga-agents. Appl. Soft Comput. 6(3): 244-257 (2006)

Andrew R. McIntyre, Malcolm I. Heywood: MOGE: GP classification problem decomposition using multi-objective optimization. GECCO 2006: 863-870

Ashley George, Malcolm I. Heywood: Improving GP classifier generalization using a cluster separation metric. GECCO 2006: 939-940

Michal Lemczyk, Malcolm I. Heywood: Pareto-coevolutionary genetic programming classifier. GECCO 2006: 945-946

Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood: On evolving buffer overflow attacks using genetic programming. GECCO 2006: 1667-1674

Garnett Carl Wilson, Malcolm I. Heywood: Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach. PPSN 2006: 751-760

Leigh Wetmore, Malcolm I. Heywood, A. Nur Zincir-Heywood: Speeding up the Self-Organizing Feature Map Using Dynamic Subset Selection. Neural Processing Letters 22(1): 17-32 (2005)

Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywood: Training genetic programming on half a million patterns: an example from anomaly detection. IEEE Trans. Evolutionary Computation 9(3): 225-239 (2005)

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood: Evolving Successful Stack Overflow Attacks for Vulnerability Testing. ACSAC 2005: 225-234

Bin Tang, Michael A. Shepherd, Malcolm I. Heywood, Xiao Luo: Comparing Dimension Reduction Techniques for Document Clustering. Canadian Conference on AI 2005: 292-296

Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, Andrew R. McIntyre, Malcolm I. Heywood: Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma. CBMS 2005: 97-102

Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood: CasGP: building cascaded hierarchical models using niching. Congress on Evolutionary Computation 2005: 1180-1187

Andrew R. McIntyre, Malcolm I. Heywood: Toward co-evolutionary training of a multi-class classifier. Congress on Evolutionary Computation 2005: 2130-2137

Garnett Carl Wilson, Malcolm I. Heywood: Context-Based Repeated Sequences in Linear Genetic Programming. EuroGP 2005: 240-249

Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywood: Evolving recurrent models using linear GP. GECCO 2005: 1787-1788

Garnett Carl Wilson, Malcolm I. Heywood: Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. GECCO 2005: 2067-2073

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood: Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99. PST 2005

Garnett Carl Wilson, Andrew R. McIntyre, Malcolm I. Heywood: Resource Review: Three Open Source Systems for Evolving Programs-Lilgp, ECJ and Grammatical Evolution. Genetic Programming and Evolvable Machines 5(1): 103-105 (2004)

Robert Curry, Malcolm I. Heywood: Towards Efficient Training on Large Datasets for Genetic Programming. Canadian Conference on AI 2004: 161-174

Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood: On Dataset Biases in a Learning System with Minimum A Priori Information for Intrusion Detection. CNSR 2004: 181-189

Andrew R. McIntyre, Malcolm I. Heywood, Paul Habib Artes, Syed Sibte Raza Abidi: Toward Glaucoma Classification with Moment Methods. CRV 2004: 265-272

Andrew R. McIntyre, Malcolm I. Heywood: On Multi-class Classification by Way of Niching. GECCO (2) 2004: 581-592

M. David Terrio, Malcolm I. Heywood: On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems. GECCO (2) 2004: 678-689

Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywood: A Linear Genetic Programming Approach to Intrusion Detection. GECCO 2003: 2325-2336

A. Nur Zincir-Heywood, Malcolm I. Heywood, Chris R. Chatwin: Object-Orientated Design of Digital Library Platforms for Multiagent Environments. IEEE Trans. Knowl. Data Eng. 14(2): 281-295 (2002)

Malcolm I. Heywood, A. Nur Zincir-Heywood: Dynamic page based crossover in linear genetic programming. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(3): 380-388 (2002)

Suihong Liang, A. Nur Zincir-Heywood, Malcolm I. Heywood: Intelligent Packets For Dynamic Network Routing Using Distributed Genetic Algorithm. GECCO 2002: 88-96

P. W. Lei, Malcolm I. Heywood, Chris R. Chatwin: Negotiating Agents in Manufacturing Decision Making Processes. E-Commerce Agents 2001: 135-153

A. Nur Zincir-Heywood, Malcolm I. Heywood, Chris R. Chatwin, Turhan Tunali: Heterogeneous Digital Library Query Platform Using a Truly Distributed Multi-Agent Search. Int. J. Cooperative Inf. Syst. 9(3): 229-254 (2000)

Malcolm I. Heywood, A. Nur Zincir-Heywood, Chris R. Chatwin: Digital library query clearing using clustering and fuzzy decision-making. Inf. Process. Manage. 36(4): 571-583 (2000)

Malcolm I. Heywood, A. Nur Zincir-Heywood: Register Based Genetic Programming on FPGA Computing Platforms. EuroGP 2000: 44-59

V. Paraskevopoulos, Chris R. Chatwin, Malcolm I. Heywood: Continuous Optimal Controllers Using Hierarchical Mixtures of Experts. IJCNN (4) 2000: 331-336

David Budgett, Malcolm I. Heywood, Rupert C. D. Young, Chris R. Chatwin, Shipping Huang, Philip Birch, Maria Farsari, Chris D. Bradfield: Real-time digital-optical correlator-systems design. Microprocessors and Microsystems - Embedded Hardware Design 23(8-9): 501-511 (1999)