| Random subsampling improves performance in lexicase selection JG Hernandez, A Lalejini, E Dolson, C Ofria Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 58 | 2019 |
| Adaptive phenotypic plasticity stabilizes evolution in fluctuating environments A Lalejini, AJ Ferguson, NA Grant, C Ofria Frontiers in Ecology and Evolution 9, 715381, 2021 | 42 | 2021 |
| Evolving event-driven programs with SignalGP A Lalejini, C Ofria Proceedings of the genetic and evolutionary computation conference, 1135-1142, 2018 | 31 | 2018 |
| Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving R Boldi, M Briesch, D Sobania, A Lalejini, T Helmuth, F Rothlauf, C Ofria, ... Evolutionary computation, 1-31, 2024 | 30 | 2024 |
| Exploring genetic programming systems with map-elites E Dolson, A Lalejini, C Ofria Genetic Programming Theory and Practice XVI, 1-16, 2019 | 29 | 2019 |
| Interpreting the tape of life: ancestry-based analyses provide insights and intuition about evolutionary dynamics E Dolson, A Lalejini, S Jorgensen, C Ofria Artificial Life 26 (1), 58-79, 2020 | 23 | 2020 |
| The evolutionary origins of phenotypic plasticity A Lalejini, C Ofria Proceedings of the Artificial Life Conference 2016 13, 372-379, 2016 | 23 | 2016 |
| An exploration of exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality JG Hernandez, A Lalejini, C Ofria Genetic programming theory and practice xviii, 83-107, 2022 | 22 | 2022 |
| Characterizing the effects of random subsampling on lexicase selection AJ Ferguson, JG Hernandez, D Junghans, A Lalejini, E Dolson, C Ofria Genetic programming theory and practice XVII, 1-23, 2020 | 21 | 2020 |
| What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms? JG Hernandez, A Lalejini, E Dolson Genetic programming theory and practice XVIII, 63-82, 2022 | 20 | 2022 |
| Artificial selection methods from evolutionary computing show promise for directed evolution of microbes A Lalejini, E Dolson, AE Vostinar, L Zaman Elife 11, e79665, 2022 | 14 | 2022 |
| Symbiosis in Digital Evolution: Past, Present, and Future AE Vostinar, K Skocelas, A Lalejini, L Zaman Frontiers in Ecology and Evolution, 748, 2021 | 14 | 2021 |
| Tag-accessed Memory for Genetic Programming A Lalejini, C Ofria In Proceedings of the Genetic and Evolutionary Computation Conference …, 2019 | 14 | 2019 |
| Gene Duplications Drive the Evolution of Complex Traits and Regulation A Lalejini, MJ Wiser, C Ofria 14th European Conference on Artificial Life (ECAL), 2017 | 14 | 2017 |
| Data standards for artificial life software A Lalejini, E Dolson, C Bohm, AJ Ferguson, DP Parsons, PF Rainford, ... Artificial Life Conference Proceedings, 507-514, 2019 | 12 | 2019 |
| A static analysis of informed down-samples R Boldi, A Lalejini, T Helmuth, L Spector Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 10 | 2023 |
| A suite of diagnostic metrics for characterizing selection schemes JG Hernandez, A Lalejini, C Ofria arXiv preprint arXiv:2204.13839, 2022 | 10 | 2022 |
| The problem solving benefits of down-sampling vary by selection scheme R Boldi, A Bao, M Briesch, T Helmuth, D Sobania, L Spector, A Lalejini Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | 7 | 2023 |
| MABE 2.0: an introduction to MABE and a road map for the future of MABE development C Bohm, A Lalejini, J Schossau, C Ofria Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 7 | 2019 |
| What else is in an evolved name? Exploring evolvable specificity with SignalGP A Lalejini, C Ofria Genetic Programming Theory and Practice XVI, 103-121, 2019 | 7 | 2019 |
Charles OfriaMichigan State University確認したメール アドレス: cse.msu.edu