Genetic Programming Bibliography entries for Mark Connor

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GP coauthors/coeditors: Zhiang Chen, Sudarshan Pant, Michael O'Neill, David Fagan,

Genetic Programming conference papers by Mark Connor

  1. Zhiang Chen and Mark Connor and Michael O'Neill. Building Fairness-Aware Ensembles with AutoFairGE. In Giovanni Iacca and Giorgia Nadizar and Anil Yaman and Doina Bucur and Antonio Della Cioppa and Ting Hu and Eric Medvet and Sarah L. Thomson editors, Parallel Problem Solving from Nature - PPSN XIX - 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part V, volume 16989, pages 384-398, 2026. Springer. details

  2. Mark Connor. Can LLM's Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities. In Roman Senkerik and Niki van Stein and Erik Hemberg and Anna V. Kononova and Pier Luca Lanzi and Michal Pluhacek and Joel Lehman and Leonardo Trujillo and Ting Hu and Sebastian Rojas Gonzalez and Saul Calderon Ramirez and Stephan Winkler and Yazmin Maldonado and James McDermott and Jose Manuel Munoz Contreras and Giorgia Nadizar and Marcella Scoczynski Ribeiro Martins and Hirad Assimi and Mario Andres Munoz and Oliver Cuate and Daniel Hernandez and Yanan Sun and Edgar Galvan and Aniko Ekart and Nadarajen Veerapen editors, GECCO 2026 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1371-1382, San Jose, Costa Rica, 2026. Association for Computing Machinery. details

  3. Zhiang Chen and Mark Connor and Sudarshan Pant and Michael O'Neill. Investigating Combined Algorithm Selection and Hyperparameter Optimization for Fairness. In Ryan Urbanowicz and Will N. Browne editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, pages 255-258, Malaga, Spain, 2025. Association for Computing Machinery. details

  4. Mark Connor and David Fagan and Michael O'Neill. Optimising Team Sport Training Plans With Grammatical Evolution. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 2474-2481, Wellington, New Zealand, 2019. IEEE Press. details