Items where Author is "Ryan, Conor"

Article

Lane, Fergal and Azad, R. Muhammad Atif and Ryan, Conor (2017) DICE: Exploiting All Bivariate Dependencies in Binary and Multary Search Spaces. Memetic Computing, 10. pp. 245-255. ISSN 1865-9284

Azad, R. Muhammad Atif and Ryan, Conor (2014) A simple approach to lifetime learning for Genetic Programming based Symbolic Regression. Evolutionary Computation, 22 (2). pp. 287-317. ISSN 1063-6560

Book Section

Lane, Fergal and Azad, R. Muhammad Atif and Ryan, Conor (2017) DICE: A New Family of Bivariate Estimation of Distribution Algorithms based on Dichotomised Multivariate Gaussian Distributions. In: Applications of Evolutionary Computation. EvoApplications 2017. Lecture Notes in Computer Science,. Lecture Notes in Computer Science, 10199 . Springer. ISBN 978-3-319-55848-6

Chennupati, G. and Azad, R. Muhammad Atif and Ryan, Conor (2016) Automatic Lock-free Parallel Programming on Multi-core Processors. In: Evolutionary Computation (CEC), 2016 IEEE Congress on. IEEE, pp. 4143-4150. ISBN 978-1-5090-0623-6

Medernach, David and Fitzgerald, Jeannie and Azad, R. Muhammad Atif and Ryan, Conor (2016) A New Wave: A Dynamic Approach to Genetic Programming. In: Proceedings of the Genetic and Evolutionary Computation Conference 2016. ACM, New York, pp. 757-764. ISBN 978-1-4503-4206-3

Fitzgerald, Jeannie and Azad, R. Muhammad Atif and Ryan, Conor (2016) GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification. In: Computational Intelligence. IJCCI 2015. Studies in Computational Intelligence, 669 . Springer, pp. 113-134. ISBN 978-3-319-48504-1

Lane, Fergal and Azad, R. Muhammad Atif and Ryan, Conor (2016) Principled Evolutionary Algorithm Design and the Kernel Trick. In: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. ACM, New York, pp. 149-150. ISBN 978-1-4503-4323-7

Azad, R. Muhammad Atif and Lane, Fergal and Ryan, Conor (2016) Principled Evolutionary Algorithm Search Operator Design and the Kernel Trick. In: IEEE Symposium on Model Based Evolutionary Algorithms (IEEE MBEA'16). IEEE. ISBN 978-1-5090-4240-1

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) On the Automatic Generation of Efficient Parallel Iterative Sorting Algorithms. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation companion. ACM. ISBN 978-1-4503-3488-4/15/07

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive Programs. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation. ACM, Madrid, Spain. ISBN 978-1-4503-3472-3

Azad, R. Muhammad Atif and Medernach, David and Fitzgerald, Jeannie and Ryan, Conor (2015) Wave: Incremental Erosion of Residual Error. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation companion. ACM. ISBN 978-1-4503-3488-4

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Automatic Evolution of Parallel Recursive Programs. In: Proceedings of 18th European Conference on Genetic Programming (EuroGP 2015). Springer, Theoretical Computer Science and General Issues, pp. 167-178. ISBN 978-3-319-16500-4

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Automatic Evolution of Parallel Sorting Programs on Multi-cores. In: Proceedings of 18th European Conference on the Applications of Evolutionary Computation. Theoretical Computer Science and General Issues, 9028 . Springer, pp. 706-717. ISBN 978-3-319-16548-6

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2015) Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical Evolution. In: GECCO 2015 5th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA'15). ACM, pp. 1059-1066. ISBN 978-1-4503-3488-4/15/07

Azad, R. Muhammad Atif and Medernach, David and Fitzgerald, Jeannie and Ryan, Conor (2015) Wave: A Heterogeneous Genetic Programming Approach to Divide and Conquer. In: GECCO '15: Proceedings of the 17th international conference on Genetic and evolutionary computation companion. ACM, Madrid, Spain.

Azad, R. Muhammad Atif and Lane, Fergal and Ryan, Conor (2014) On Effective and Inexpensive Local Search Techniques in Genetic Programming. In: Proceedings of 13th International Conference on Parallel Problem Solving from Nature (PPSN). Springer, Ljubljana, Slovenia.

Azad, R. Muhammad Atif and Ryan, Conor (2014) The Best Things Don’t Always Come in Small Packages: Constant Creation in Grammatical Evolution. In: Proceedings of Genetic Programming, 17th European Conference (EuroGP 2014). Theoretical Computer Science and General Issues, 8599 . Springer, pp. 186-197. ISBN 978-3-662-44302-6

Azad, R. Muhammad Atif and Medernach, David and Ryan, Conor (2014) Efficient Approaches to Interleaved Sampling of Training Data for Symbolic Regression. In: Proceedings of 6th World Congress on Nature and Biologically Inspired Computing (NaBIC 2014). IEEE Press, Porto, Portugal, pp. 176-183. ISBN 978-l-4799-5937-2114

Azad, R. Muhammad Atif and Medernach, David and Ryan, Conor (2014) Efficient Interleaved Sampling of Training Data in Genetic Programming. In: Proceedings of Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 127-128. ISBN 978-1-4503-2662-9

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Multi-core GE: Automatic Evolution of CPU Based Multi-core Parallel Programs. In: GECCO '14 Companion: Proceeding of the sixteenth annual conference companion on Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 1041-1044. ISBN 978-1-4503-2662-9

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Predict the Performance of GE with an ACO Based Machine Learning Algorithm. In: GECCO '14 Companion: Proceeding of the sixteenth annual conference companion on Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 1353-1360. ISBN 978-1-4503-2881-4/14/07

Azad, R. Muhammad Atif and Chennupati, Gopinath and Ryan, Conor (2014) Predict the Success or Failure of an Evolutionary Algorithm Run. In: The proceedings of Genetic and Evolutionary Computation Conference, GECCO '14. ACM, pp. 131-132. ISBN 978-1-4503-2881-4/14/07