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Alexander Lalejini
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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
412019
Exploring genetic programming systems with map-elites
E Dolson, A Lalejini, C Ofria
Genetic Programming Theory and Practice XVI, 1-16, 2019
272019
Evolving event-driven programs with SignalGP
A Lalejini, C Ofria
Proceedings of the genetic and evolutionary computation conference, 1135-1142, 2018
272018
Adaptive phenotypic plasticity stabilizes evolution in fluctuating environments
A Lalejini, AJ Ferguson, NA Grant, C Ofria
Frontiers in Ecology and Evolution 9, 715381, 2021
242021
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
182020
The evolutionary origins of phenotypic plasticity
A Lalejini, C Ofria
Proceedings of the Artificial Life Conference 2016 13, 372-379, 2016
172016
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
162020
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
152022
Tag-accessed Memory for Genetic Programming
A Lalejini, C Ofria
In Proceedings of the Genetic and Evolutionary Computation Conference …, 2019
142019
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
132022
Gene Duplications Drive the Evolution of Complex Traits and Regulation
A Lalejini, MJ Wiser, C Ofria
14th European Conference on Artificial Life (ECAL), 2017
132017
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, 1-32, 2024
112024
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
102022
Symbiosis in Digital Evolution: Past, Present, and Future
AE Vostinar, K Skocelas, A Lalejini, L Zaman
Frontiers in Ecology and Evolution, 748, 2021
92021
A suite of diagnostic metrics for characterizing selection schemes
JG Hernandez, A Lalejini, C Ofria
arXiv preprint arXiv:2204.13839, 2022
82022
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
72019
Evaluation of supervisory control interfaces for mobile robot integration with tactical teams
A Lalejini, D Duckworth, R Sween, CL Bethel, D Carruth
2014 IEEE International Workshop on Advanced Robotics and its Social Impacts …, 2014
72014
Tag-based regulation of modules in genetic programming improves context-dependent problem solving
A Lalejini, MA Moreno, C Ofria
Genetic Programming and Evolvable Machines 22, 325-355, 2021
62021
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
62019
Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics
E Dolson, A Lalejini, S Jorgensen, C Ofria
Artificial Life Conference Proceedings, 75-82, 2018
62018
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