Will Browne: List of all Publications

Table of Contents

Refereed Journal Articles

Muhammad Iqbal, Will Browne, and Mengjie Zhang. " Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems". IEEE Transactions on Evolutionary Computation, 2014. [10.1109/TEVC.2013.2281537 .pdf bib ]
Toktam Ebadi, Ignas Kukenys, Will Browne, and Mengjie Zhang. "Human Readable Feature Pattern Classification System using Learning Classifier Systems". Evolutionary Computation, Journal, 2014. [ bib ]
Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. " Multi-Objective Evolutionary Algorithms for Filter Based Feature Selection in Classification". International Journal on Artificial Intelligence Tools, 2013. [ .pdf bib ]
Muhammad Iqbal, Will Browne, and Mengjie Zhang. "Evolving optimum populations with XCS classifier systems". Soft Computing, vol. 17(3), pp. 503-518, 2013. [ http .pdf bib ]
Bing Xue, Liam Cervante, Lin Shang, Will Browne, and Mengjie Zhang. "A multi-objective particle swarm optimisation for filter-based feature selection in classification problems". Connection Science, vol. 24(2-3), pp. 91-116, 2012. [ http .pdf bib ]
Bing Xue, Mengjie Zhang, and Will Browne. "Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach". IEEE Transactions on Systems, Man, and Cybernetics (Part B)., pp. 1-16, 2012. [ http .pdf bib ]
Richard Mitchell, Kevin Warwick, Will Browne, Mark N Gasson, and Jim Wyatt. "Engaging robots: Innovative outreach for attracting cybernetics students". Education, IEEE Transactions on, vol. 53(1), pp. 105-113, 2010. [ http .pdf bib ]
Will Browne, and Richard J Hussey. "Emotional cognitive steps towards consciousness". International Journal of Machine Consciousness, vol. 1(02), pp. 203-211, 2009. [ .pdf bib ]
Will Browne, Kazuhiko Kawamura, Jeffrey Krichmar, William Harwin, and Hiroaki Wagatsuma. "Cognitive robotics: new insights into robot and human intelligence by reverse engineering brain functions [from the guest editors]". Robotics & Automation Magazine, IEEE, vol. 16(3), pp. 17-18, 2009. [ http bib ]
J. Wyatt, Will Browne, M Gasson, and K Warwick. "A study of factors influencing the adoption of mass market consumer robotic products". IEEE Robotics and Automation Society Magazine, vol. 5(1), pp. 71-79., 2008. [ http .pdf bib ]
Will Browne, L Yao, T Ozen, I Postlethwaite, J Mason, S Lowes, M Mar, and C Lane. "Fusing data-mining and knowledge-elicitation for the supervisory control of an aluminium plate mill". Engineering Applications of Artificial Intelligence, vol. 19(3), pp. 345-359, 2006. [ http .pdf bib ]
L Yao, Ian Postlethwaite, Will Browne, D Gu, M Mar, and S Lowes. "Design, implementation and testing of an intelligent knowledge-based system for the supervisory control of a hot rolling mill". Journal of process control, vol. 15(6), pp. 615-628, 2005. [ http bib ]
Will Browne, Karen M Holford, Carolynne J Moore, and John Bullock. "An industrial learning classifier system: the importance of pre-processing real data and choice of alphabet". Engineering Applications of Artificial Intelligence, vol. 13(1), pp. 25-36, 2000. [ http bib ]

Non-refereed Journal Papers

Will Browne. "Book review: Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence". International Journal of Synthetic Emotions, 2010. [ bib ]

Edited Proceedings

Editor (Bacardit, J and Browne, W. and Drugowitsch, J. and Bernadó-Mansilla, E.and Butz, M.V.) of 12th Int. Workshop, IWLCS. Atlanta, GA, USA, July 2009. [ bib ]
Editor (Bacardit, J and Browne, W. and Drugowitsch, J. and Bernadó-Mansilla, E.and Butz, M.V.) of 11th Int. Workshop, IWLCS. Atlanta, GA, USA, July 2008. [ bib ]

Refereed Book Chapters

Madeleine Davis-Moradkhan, and Will Browne. "Evolutionary Algorithms for the Multi Criterion Minimum Spanning Tree Problem". In Computational Intelligence in Expensive Optimization Problems. Springer, 2010, pp. 423-452. [ http bib ]
Will Browne, and Kazuhiko Kawamura. "Cognitive Robots". In Encyclopedia of Complexity and Systems Science. ed. Robert A. Meyers. Springer, 2009, ISBN: 978-0-387-75888-6. [ http bib ]
Will Browne, Dan Scott, and Charalambos Ioannides. "Abstraction for Genetics-Based Reinforcement Learning". In Reinforcement Learning: Theory and Applications. ed. Weber, C. and Elshaw, M. and Mayer, NM. Vienna, Austria: Advanced Robotic Systems Publishing, 2008, [ .pdf bib ]
Bernhard Anrig, Will Browne, and Mark Gasson. "The role of algorithms in profiling". In Profiling the European Citizen. Springer, 2008, pp. 65-87. [ http .pdf bib ]

Conference Proceedings

Syed S Naqvi, Will N Browne, and Christopher Hollitt. "Optimizing visual attention models for predicting human fixations using Genetic Algorithms" in Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE: 2013 pp. 1302-1309. [ http bib ]
Roman Klapaukh, Will N Browne, and Mengjie Zhang. "The effect of primitive sets on the expression of evolved images" in Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE: 2013 pp. 725-732. [ http bib ]
Bing Xue, Mengjie Zhang, and Will Browne. "Novel initialisation and updating mechanisms in PSO for feature selection in classification" in Applications of Evolutionary Computation. 2013 pp. 428-438. [ http bib ]
Muhammad Iqbal, Will N Browne, and Mengjie Zhang. "Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems" in Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE: 2013 pp. 1818-1825. [ http bib ]
Muhammad Iqbal, Will N Browne, and Mengjie Zhang. "Comparison of two methods for computing action values in XCS with code-fragment actions" in Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Amsterdam, The Netherlands. 2013 pp. 1235-1242. ISBN: 978-1-4503-1964-5. [ http bib ]
Syahaneim Marzukhi, Will N Browne, and Mengjie Zhang. "Adaptive artificial datasets through learning classifier systems for classification tasks" in Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, Amsterdam, The Netherlands. 2013 pp. 1243-1250. ISBN: 978-1-4503-1964-5. [ http bib ]
Bing Xue, Mengjie Zhang, Yan Dai, and Will N Browne. "PSO for feature construction and binary classification" in Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. ACM: 2013 pp. 137-144. [ http bib ]
Muhammad Iqbal, Will N Browne, and Mengjie Zhang. "Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems" in Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. ACM: 2013 pp. 1045-1052. [ http bib ]
Aaron Scoble, Will Browne, Bill Stephenson, Zane Bruce, and Mengjie Zhang. "Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming" in Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE: 2013 pp. 2940-2947. [ http bib ]
Henry Williams, Will Browne, and Michael Milford. "Image Region Salience for Improving Appearance-Based Place Recognition using a Supervised Classifer System" in Proceedings of Australasian Conference on Robotics and Automation. 2012 pp. 8. [ .pdf bib ]
Bing Xue, Mengjie Zhang, and Will N Browne. "New fitness functions in binary particle swarm optimisation for feature selection" in Evolutionary Computation (CEC), 2012 IEEE Congress on. IEEE: 2012 pp. 1-8. [ http bib ]
Muhammad Iqbal, Will Browne, and Mengjie Zhang. "XCSR with computed continuous action" in AI 2012: Advances in Artificial Intelligence. 2012 pp. 350-361. [ http .pdf bib ]
Muhammad Iqbal, Will N Browne, and Mengjie Zhang. "Extracting and using building blocks of knowledge in learning classifier systems" in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. ACM: 2012 pp. 863-870. [ http bib ]
Bing Xue, Mengjie Zhang, and Will N Browne. "Multi-objective particle swarm optimisation (PSO) for feature selection" in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. ACM: 2012 pp. 81-88. [ http bib ]
Syahaneim Marzukhi, Will N Browne, and Mengjie Zhang. "Two-cornered learning classifier systems for pattern generation and classification" in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. ACM: 2012 pp. 895-902. [ http bib ]
Toktam Ebadi, Mengjie Zhang, and Will Browne. "XCS-based versus UCS-based feature pattern classification system" in Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference. ACM: 2012 pp. 839-846. [ http bib ]
Dale A Carnegie, Craig Watterson, Will N Browne, James MacKay, Mel Lock, John Williams, and Michael Forret. "Strategies to improve engineering retention" in Global Engineering Education Conference (EDUCON), 2012 IEEE. IEEE: 2012 pp. 1-10. [ http bib ]
Henry Williams, and Will N Browne. "Integration of Learning Classifier Systems with simultaneous localisation and mapping for autonomous robotics" in Evolutionary Computation (CEC), 2012 IEEE Congress on. IEEE: 2012 pp. 1-8. [ http bib ]
Bing Xue, Mengjie Zhang, and Will N Browne. "Single feature ranking and binary particle swarm optimisation based feature subset ranking for feature selection" in Proceedings of the Thirty-fifth Australasian Computer Science Conference-Volume 122. Australian Computer Society, Inc.: 2012 pp. 27-36. [ http bib ]
Dale A Carnegie, Craig Watterson, Peter Andreae, and Will N Browne. "Prediction of success in engineering study" in Global Engineering Education Conference (EDUCON), 2012 IEEE. IEEE: 2012 pp. 1-9. [ http bib ]
Abigail Rajendran, Christopher Hollitt, and Will N Browne. "Investigating the use of Magneto-Rheological Fluid in an Active Compliant Actuator for a Stroke Rehabilitation System" in Australasian Conference on Robotics and Automation. ACRA: 2011 pp. 8. [ .pdf bib ]
Muhammad Iqbal, Mengjie Zhang, and Will Browne. "Automatically defined functions for learning classifier systems" in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. ACM: 2011 pp. 375-382. [ http bib ]
Ignas Kukenys, Will N Browne, and Mengjie Zhang. "Transparent, online image pattern classification using a learning classifier system" in Applications of Evolutionary Computation, Torino, Italy. 2011 pp. 183-193. [ http bib ]
Paul Baxter, and Will Browne. "Memory-based cognitive framework: a low-level association approach to cognitive architectures" in European Conference on Artificial Life (ECAL'09), Budapest, Hungary. September 2011 pp. 402-409. [ http bib ]
Muhammad Iqbal, Will N Browne, and Mengjie Zhang. "Transparent Automatically defined functions for learning classifier systems" in Proceedings of the 2011 international conference on Genetic and evolutionary computation conference. 2011 pp. 375-382. [ bib ]
Syahaneim Marzukhi, Will N Browne, and Mengjie Zhang. "Developing an evolvable pattern generator using learning classifier systems" in Automation, Robotics and Applications (ICARA), 2011 5th International Conference on. IEEE: 2011 pp. 163-168. [ http bib ]
Ignas Kukenys, Will N Browne, and Mengjie Zhang. "Confusion matrices for improving performance of feature pattern classifier systems" in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. ACM: 2011 pp. 181-182. [ http bib ]
Jan Larres, Mengjie Zhang, and Will N Browne. "Using unrestricted loops in genetic programming for image classification" in Evolutionary Computation (CEC), 2010 IEEE Congress on. IEEE: 2010 pp. 1-8. [ http bib ]
Daniel L Atkins, Roman Klapaukh, Will N Browne, and Mengjie Zhang. "Evolution of aesthetically pleasing images without human-in-the-loop" in Evolutionary Computation (CEC), 2010 IEEE Congress on. IEEE: 2010 pp. 1-8. [ http bib ]
Paul Baxter, and Will Browne. "Memory as the substrate of cognition: a developmental cognitive robotics perspective" in Proceedings of the International Conference on Epigenetic Robotics (EpiRob). 2010 pp. 19-26. [ .pdf bib ]
Rachel Hunt, Mark Johnston, Will Browne, and Mengjie Zhang. "Sampling methods in genetic programming for classification with unbalanced data" in AI 2010: Advances in Artificial Intelligence. 2010 pp. 273-282. [ http bib ]
Lee Macri, Will Browne, and Mengjie Zhang. "Particle swarm optimisation based AdaBoost for facial expression classification of still images" in Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of. IEEE: 2010 pp. 1-8. [ http bib ]
Ammar W Mohemmed, Mengjie Zhang, and Will N Browne. "Particle swarm optimisation for outlier detection" in Proceedings of the 12th annual conference on Genetic and evolutionary computation. ACM: 2010 pp. 83-84. [ http bib ]
Carlton Downey, Mengjie Zhang, and Will N Browne. "New crossover operators in linear genetic programming for multiclass object classification" in Proceedings of the 12th annual conference on Genetic and evolutionary computation. ACM: 2010 pp. 885-892. [ http bib ]
Paul Baxter, and Will Browne. "Perspectives on Robotic Embodiment from a Developmental Cognitive Architecture" in Adaptive and Intelligent Systems, 2009. ICAIS'09. International Conference on. IEEE: 2009 pp. 3-8. [ http bib ]
Paul Baxter, and Will Browne. "The role of internal value systems for a memory-based robotic architecture" in Epigenetic Robotics. 2009. [ bib ]
Will Browne, and Margaret Yates. "Houses, History and Cybernetics: The Challenges of an Inter-Disciplinary Project" in British Agricultural History Society Winter Conference - The history of rural housing: new approaches and old problems, Senate House, Malet St, London. Institute of Historical Research: December 2009. [ bib ]
Madeleine Davis-Moradkhan, Will N Browne, and Peter Grindrod. "Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem" in Proceedings of the 11th Annual conference on Genetic and evolutionary computation. ACM: 2009 pp. 1829-1830. [ http bib ]
Madeleine Davis-Moradkhan, and Will N Browne. "A Hybridised Evolutionary Algorithm for Multi-Criterion Minimum Spanning Tree Problems" in Hybrid Intelligent Systems, 2008. HIS'08. Eighth International Conference on. IEEE: 2008 pp. 290-295. [ http bib ]
Charalambos Ioannides, and Will Browne. "Investigating scaling of an abstracted lcs utilising ternary and s-expression alphabets" in Learning Classifier Systems. 2008 pp. 46-56. [ http bib ]
Paul Baxter, Will Browne, and others. "Towards a developmental memory-based and embodied cognitive architecture" in Epigenetic Robotics. 2008 pp. 137-138. [ http bib ]
M Davis Moradkhan, and Will N Browne. "A Knowledge-based Evolution Strategy for the Multi-objective Minimum Spanning Tree Problem" in Evolutionary Computation, 2006. CEC 2006. IEEE Congress on. IEEE: 2006 pp. 1391-1398. [ http bib ]
Philip T Elliott, Diven Topiwala, and Will N Browne. "Training Reformulated Product Units in Hybrid Neural Networks" in Neural Networks, 2006. IJCNN'06. International Joint Conference on. IEEE: 2006 pp. 5051-5058. [ http bib ]
B Joshi, Will Browne, and D.S. Corne. "Developing greedy and adaptive algorithms for practical laboratory resource scheduling problem" in Adaptive Computing in Design and Manufacture VII (ACDM 06). 2006 pp. 1-4. [ http bib ]
Will Browne, and C Tingley. "Developing an emotion-based architecture for autonomous agents" in Third International Conference on Automonous Robots and Agents (ICARA 2006). 2006 pp. 225-230. [ http bib ]
S Bryndoor, Will Browne, L Yao, I Postlethwaite, and S Lowes. "Control of long plate quality: development of novel measurement systems and rolling simulation" in 14th IFAC Symposium on System Indentification. 2006. [ http bib ]
FC Gee, Will Browne, and K Kawamura. "Uncanny valley revisited" in Robot and Human Interactive Communication, 2005. ROMAN 2005. IEEE International Workshop on. Ieee: 2005 pp. 151-157. [ http bib ]
Alex McMahon, Dan Scott, and Will Browne. "An autonomous explore/exploit strategy" in Proceedings of the 2005 workshops on Genetic and evolutionary computation. ACM: 2005 pp. 103-108. [ http .pdf bib ]
Will Browne, and Dan Scott. "An abstraction algorithm for genetics-based reinforcement learning" in Proceedings of the 2005 conference on Genetic and evolutionary computation, Washington DC, USA. ACM: 2005 pp. 1875-1882. ISBN: 1-59593-010-8. [ http bib ]
Alex McMahon, Dan Scott, and Will Browne. "An autonomous explore/exploit strategy" in Proceedings of the 2005 workshops on Genetic and evolutionary computation. ACM: 2005 pp. 103-108. [ http bib ]
Will Browne. "Balancing Specificity and Generality in a Panmitic-Based Rule-Discovery Learning Classifier System"" in Learning Classifier Systems: 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers. 2003. ISBN: 9783540205449. [ http bib ]
L Yao, Will Browne, I Postlethwaite, T Ozen, P Atack, M Mar, and S Lowes. "Architecture for intelligent knowledge-based supervisory control of rolling mills" in IFAC Workshop on New Technologies for Automation of Metallurgical Industry. 2003 pp. 162-167. [ bib ]
T Ozen, DW Gu, I Postlethwaite, Will Browne, and L Yao. "Neural Network Models for The Prediction of Aluminium Heating and Rolling Times" in International Conference on Thermomechanical Processing: Mechanics, Microstructure \& Control, Sheffield, UK. Citeseer: 2002. [ .pdf bib ]
Will Browne, L Yao, T Ozen, I Postlethwaite, J Mason, S Lowes, M Mar, and C Lane. "Fusing data-mining and knowledge-elicitation for the supervisory control of an aluminium plate mill" in International Conference on Thermomechanical Processing: Mechanics, Microstructure \& Control, Sheffield, UK. Citeseer: 2002. [ .pdf bib ]
T Ozen, DW Gu, I Postlethwaite, Will Browne, and L Yao. "Optimization of soaking pit/rolling mill process at British aluminium plate" in Tenth IFAC Symposium on Automation in Mining, Mineral and metal Processing, Tokyo, Japan. 2001. [ bib ]
Will Browne, Karen M Holford, and Carolynne J Moore. "An Industry-Based Development of the Learning Classifier System Technique" in Evolutionary Design and Manufacture. 2000 pp. 199-210. [ http bib ]
Will Browne, Y Cao, I Postlethwaite, T Ozen, P Atack, and C Lane. "Design of a knowledge-based intelligent supervisory control system for an aluminium hot reversing mill" in UKACC International Conference on Control. Citeseer: 2000. [ http bib ]
Will Browne, Y Cao, T Ozen, I Postlethwaite, P Atack, and C Lane. "System Architecture for Aluminium Hot Rolling Mill Supervisory Control" in Asia Control Conference. 2000. [ bib ]
Will Browne, Karen Holford, Carolynne Moore, and John Bullock. "A practical application of a learning classifier system in a steel hot strip mill" in Artificial Neural Nets and Genetic Algorithms. Springer: 1998 pp. 611-614. [ http bib ]
WN Browne, KM Holford, CJ Moore, and JD Bullock. "Practical application of learning classifier system for downcoiler decision support in steel hot strip mill" in Ironmaking & Steelmaking, Engineering Doctorate Seminar. 1997 pp. 33-41. [ http bib ]
Will Browne, C Moore, K Holford, and John Bullock. "The implementation of a learning classifier system for parameter identification by signal processing of data from steel strip downcoilers" in Software in Measurement, IEE Colloquium on (Digest No: 1996/147). IET: 1996 pp. 6-1. [ http bib ]
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S0218213013500243.pdfpdf S0218213013500243.pdf manage 454 K 05 May 2014 - 16:22 Main.willbrowne Xue et al 2013