Genetic Programming Bibliography entries for Michael A Lones

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GP coauthors/coeditors: Luis A Fuente, Alexander P Turner, Susan Stepney, Leo Caves, Andrew M Tyrrell, Nigel T Crook, Tjeerd V Olde Scheper, Andrew T Harris, Christopher J Needham, Stephen L Smith, Sheila E Fisher, Xuebin Yang, Nicola Cooper, Jennifer Kirkham, D Alastair Smith, Dominic P Martin-Hirsch, Alec S High, Stuart E Lacy, Jane E Alty, D R Stuart Jamieson, Katherine L Possin, Norbert Schuff, Phillipa Duggan-Carter, Andrew J Turner, Jeremy Cosgrove, Matthew Bedder, Richard J Maguire, Mary Elizabeth Pownall, Diana Ivanoiu, Camille Lyle, Amy Cording, Christopher J H Elliott, Nadia Solime Taou, David W Corne, Martin A Trefzer,

Genetic Programming Articles by Michael A Lones

  1. Stephen L. Smith and Michael A. Lones and Matthew Bedder and Jane E. Alty and Jeremy Cosgrove and Richard J. Maguire and Mary Elizabeth Pownall and Diana Ivanoiu and Camille Lyle and Amy Cording and Christopher J. H. Elliott. Computational approaches for understanding the diagnosis and treatment of Parkinson's disease. IET Systems Biology, 9(6):226-233, 2015. details

  2. Michael Adam Lones and Stephen Leslie Smith and Jane Elizabeth Alty and Stuart E. Lacy and Katherine L. Possin and D. R. Stuart Jamieson and Andy M. Tyrrell. Evolving Classifiers to Recognise the Movement Characteristics of Parkinson's Disease Patients. IEEE Transactions on Evolutionary Computation, 18(4):559-576, 2014. details

  3. Michael A. Lones and Luis A. Fuente and Alexander P. Turner and Leo S. D. Caves and Susan Stepney and Stephen L. Smith and Andy M. Tyrrell. Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. IEEE Transactions on Evolutionary Computation, 18(2):145-166, 2014. details

  4. Alexander P. Turner and Michael A. Lones and Luis A. Fuente and Susan Stepney and Leo S. D. Caves and Andy M. Tyrrell. The incorporation of epigenetics in artificial gene regulatory networks. Biosystems, 112(2):56-62, 2013. Selected papers from the 9th International Conference on Information Processing in Cells and Tissues. details

  5. Luis A. Fuente and Michael A. Lones and Alexander P. Turner and Susan Stepney and Leo S. Caves and Andy M. Tyrrell. Computational models of signalling networks for non-linear control. Biosystems, 112(2):122-130, 2013. Selected papers from the 9th International Conference on Information Processing in Cells and Tissues. details

  6. Michael Lones. Sean Luke: essentials of metaheuristics. Genetic Programming and Evolvable Machines, 12(3):333-334, 2011. Book review. details

  7. Andrew T. Harris and Anxhela Lungari and Christopher J. Needham and Stephen L. Smith and Michael A. Lones and Sheila E. Fisher and Xuebin Yang and Nicola Cooper and Jennifer Kirkham and D. Alastair Smith and Dominic P. Martin-Hirsch and Alec S. High. Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample. Head \& Neck Oncology, 1:34, 2009. details

  8. Michael A. Lones and Andy M. Tyrrell. Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming. BioSystems, 76(1--3):229-238, 2004. details

  9. Michael A. Lones and Andy M. Tyrrell. Biomimetic Representation with Genetic Programming Enzyme. Genetic Programming and Evolvable Machines, 3(2):193-217, 2002. details

Genetic Programming PhD doctoral thesis Michael A Lones

Genetic Programming conference papers by Michael A Lones

  1. Michael A. Lones and Jane E. Alty and Jeremy Cosgrove and Stuart Jamieson and Stephen L. Smith. Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1365-1371, Berlin, Germany, 2017. ACM. details

  2. Nadia S. Taou and David W. Corne and Michael A. Lones. Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, Part I, volume 9597, pages 351-362, Porto, Portugal, 2016. Springer. details

  3. Alexander P. Turner and Martin A. Trefzer and Michael A. Lones and Andy M. Tyrrell. Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 153-165, San Diego, CA, USA, 2015. Springer International Publishing. details

  4. Michael A. Lones and Stuart E. Lacy and Stephen L. Smith. Evolving Ensembles: What Can We Learn from Biological Mutualisms?. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 52-60, San Diego, CA, USA, 2015. Springer International Publishing. details

  5. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith. Forming classifier ensembles with multimodal evolutionary algorithms. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 723-729, 2015. IEEE. details

  6. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith. A comparison of evolved linear and non-linear ensemble vote aggregators. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 758-763, 2015. IEEE. details

  7. Luis A. Fuente and Michael A. Lones and Nigel T. Crook and Tjeerd V. Olde Scheper. Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion. In Michael Lones and Andy Tyrrell and Stephen Smith and Gary Fogel editors, 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, volume 9303, pages 114-127, San Diego, CA, USA, 2015. Springer International Publishing. details

  8. Michael A. Lones and Jane E. Alty and Phillipa Duggan-Carter and Andrew J. Turner and D. R. Stuart Jamieson and Stephen L. Smith. Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1321-1328, Vancouver, BC, Canada, 2014. ACM. details

  9. Michael A. Lones and Jane E. Alty and Stuart E. Lacy and D. R. Stuart Jamieson and Kate L. Possin and Norbert Schuff and Stephen L. Smith. Evolving classifiers to inform clinical assessment of Parkinson's disease. In Amir Hussain editor, IEEE Symposium on Computational Intelligence in Healthcare and e-health, CICARE 2013, pages 76-82, Singapore, 2013. details

  10. Stuart E. Lacy and Michael A. Lones and Stephen L. Smith and Jane E. Alty and D. R. Stuart Jamieson and Katherine L. Possin and Norbert Schuff. Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1479-1486, Amsterdam, The Netherlands, 2013. ACM. details

  11. Michael A. Lones and Andy M. Tyrrell and Susan Stepney and Leo S. Caves. Controlling legged robots with coupled artificial biochemical networks. In Rene Doursat editor, Advances in Artificial Life, ECAL, pages 465-472, Paris, 2011. MIT Press. details

  12. Michael Lones and Andy Tyrrell and Susan Stepney and Leo Caves. Controlling Complex Dynamics with Artificial Biochemical Networks. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 159-170, Istanbul, 2010. Springer. details

  13. Michael A. Lones and Stephen L. Smith and Andrew T. Harris and Alec S. High and Sheila E. Fisher and D. Alastair Smith and Jennifer Kirkham. Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming. In Pilar Sobrevilla editor, 2010 IEEE World Congress on Computational Intelligence, pages 1945-1950, Barcelona, 2010. IEEE. details

  14. Stephen L. Smith and Michael A. Lones. Implicit Context Representation Cartesian Genetic Programming for the Assessment of Visuo-Spatial Ability. In Andy Tyrrell editor, 2009 IEEE Congress on Evolutionary Computation, pages 1072-1078, Trondheim, Norway, 2009. IEEE Press. details

  15. Michael A. Lones and Andy M. Tyrrell. A Co-Evolutionary Framework for Regulatory Motif Discovery. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 3894-3901, Singapore, 2007. IEEE Press. details

  16. Michael A. Lones and Andy M. Tyrrell. Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming. In D. Mange and C. Teuscher and M. Holcombe and R. Paton and A. Stauffer and G. Tempesti editors, Proceedings of the Fifth International Workshop on Information Processing in Cells and Tissues (IPCAT2003), 2003. details

  17. Michael Lones and Andy Tyrrell. Crossover and Bloat in the Functionality Model of Enzyme Genetic Programming. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 986-991, 2002. IEEE Press. details

  18. Michael A. Lones and Andy M. Tyrrell. Pathways into Genetic Programming. In Conor Ryan editor, Graduate Student Workshop, pages 425-428, San Francisco, California, USA, 2001. details

  19. Michael A. Lones and Andy M. Tyrrell. Biomimetic Representation in Genetic Programming. In Hillol Kargupta editor, Computation in Gene Expression, pages 199-204, San Francisco, California, USA, 2001. details

  20. Michael A. Lones and Andy M. Tyrrell. Enzyme Genetic Programming. In Proceedings of the 2001 Congress on Evolutionary Computation, CEC 2001, pages 1183-1190, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 2001. IEEE Press. details

Genetic Programming book chapters by Michael A Lones

  1. Stephen L. Smith and Michael A. Lones. Medical Applications of Cartesian Genetic Programming. In Susan Stepney and Andrew Adamatzky editors, Inspired by Nature: Essays Presented to Julian F. Miller on the Occasion of his 60th Birthday, volume 28 of Emergence, Complexity and Computation, chapter 12, pages 247-266. Springer, 2017. details

  2. Michael A. Lones. Computing with artificial gene regulatory networks. In Hitoshi Iba and Nasimul Noman editors, Evolutionary Computation in Gene Regulatory Network Research, chapter 15, page 398-. John Wiley \& Sons, 2016. details

  3. Michael A. Lones and Stephen L. Smith. Objective Assessment of Visuo-Spatial Ability Using Implicit Context Representation Cartesian Genetic Programming. In Stephen L. Smith and Stefano Cagnoni editors, Genetic and Evolutionary Computation: Medical Applications, chapter 6.1, pages 174-189. John Wiley and Sons, Ltd, 2010. details

  4. Michael A. Lones and Andy M. Tyrrell. Enzyme Genetic Programming. In Martyn Amos editor, Cellular Computing, chapter 3, pages 19-42. Oxford University Press, 2004. details