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Alexander Lalejini
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2020 – today
- 2024
- [j4]Anya E. Vostinar
, Alexander Lalejini
Empirical: A scientific software library for research, education, and public engagement. J. Open Source Softw. 9(98): 6617 (2024) - [c29]Martin Briesch
Improving Lexicase Selection with Informed Down-Sampling. GECCO Companion 2024: 25-26 - [c28]Jack Garbus
Accelerating Co-Evolutionary Learning Through Phylogeny-Informed Interaction Estimation. GECCO Companion 2024: 427-430 - [c27]Ryan Boldi
A Comprehensive Analysis of Down-sampling for Genetic Programming-based Program Synthesis. GECCO Companion 2024: 487-490 - [c26]Alexander Lalejini
Runtime phylogenetic analysis enables extreme subsampling for test-based problems. GECCO Companion 2024: 511-514 - [i18]Alexander Lalejini, Marcos Sanson, Jack Garbus, Matthew Andres Moreno, Emily L. Dolson:
Runtime phylogenetic analysis enables extreme subsampling for test-based problems. CoRR abs/2402.01610 (2024) - [i17]Jack Garbus, Thomas Willkens, Alexander Lalejini, Jordan Pollack
Phylogeny-Informed Interaction Estimation Accelerates Co-Evolutionary Learning. CoRR abs/2404.06588 (2024) - 2023
- [j3]Matthew Andres Moreno
Matchmaker, matchmaker, make me a match: geometric, variational, and evolutionary implications of criteria for tag affinity. Genet. Program. Evolvable Mach. 24(1): 4 (2023) - [c25]Matthew Andres Moreno
Tag Affinity Criteria Influence Adaptive Evolution. GECCO Companion 2023: 35-36 - [c24]Ryan Boldi
The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. GECCO Companion 2023: 527-530 - [c23]Ryan Boldi
A Static Analysis of Informed Down-Samples. GECCO Companion 2023: 531-534 - [c22]Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily L. Dolson
Phylogeny-Informed Fitness Estimation for Test-Based Parent Selection. GPTP 2023: 241-261 - [c21]Emily L. Dolson
Reachability Analysis for Lexicase Selection via Community Assembly Graphs. GPTP 2023: 283-301 - [i16]Ryan Boldi, Martin Briesch, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector:
Informed Down-Sampled Lexicase Selection: Identifying productive training cases for efficient problem solving. CoRR abs/2301.01488 (2023) - [i15]Ryan Boldi, Alexander Lalejini, Thomas Helmuth, Lee Spector:
A Static Analysis of Informed Down-Samples. CoRR abs/2304.01978 (2023) - [i14]Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania
Analyzing the Interaction Between Down-Sampling and Selection. CoRR abs/2304.07089 (2023) - [i13]Alexander Lalejini, Matthew Andres Moreno, Jose Guadalupe Hernandez, Emily L. Dolson:
Phylogeny-informed fitness estimation. CoRR abs/2306.03970 (2023) - [i12]Emily L. Dolson, Alexander Lalejini:
Reachability Analysis for Lexicase Selection via Community Assembly Graphs. CoRR abs/2309.10973 (2023) - 2022
- [c20]Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria
Measuring the ability of lexicase selection to find obscure pathways to optimality. GECCO Companion 2022: 21-22 - [c19]Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson
Phylogenetic diversity predicts future success in evolutionary computation. GECCO Companion 2022: 23-24 - [c18]Alexander Lalejini, Matthew Andres Moreno, Charles Ofria:
Tag-based module regulation for genetic programming. GECCO Companion 2022: 25-26 - [c17]Alexander Lalejini, Emily L. Dolson
Selection schemes from evolutionary computing show promise for directed evolution of microbes. GECCO Companion 2022: 723-726 - [c16]Shakiba Shahbandegan
Untangling phylogenetic diversity's role in evolutionary computation using a suite of diagnostic fitness landscapes. GECCO Companion 2022: 2322-2325 - [i11]Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria:
A suite of diagnostic metrics for characterizing selection schemes. CoRR abs/2204.13839 (2022) - 2021
- [j2]Alexander Lalejini
Tag-based regulation of modules in genetic programming improves context-dependent problem solving. Genet. Program. Evolvable Mach. 22(3): 325-355 (2021) - [c15]Jose Guadalupe Hernandez, Alexander Lalejini
What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? GPTP 2021: 63-82 - [c14]Jose Guadalupe Hernandez, Alexander Lalejini
An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality. GPTP 2021: 83-107 - [i10]Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria:
An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality. CoRR abs/2107.09760 (2021) - [i9]Matthew Andres Moreno, Santiago Rodriguez Papa, Alexander Lalejini, Charles Ofria:
SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications. CoRR abs/2108.00382 (2021) - [i8]Matthew Andres Moreno, Alexander Lalejini, Charles Ofria:
Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity. CoRR abs/2108.04507 (2021) - [i7]Jose Guadalupe Hernandez, Alexander Lalejini, Emily L. Dolson
What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms? CoRR abs/2108.12586 (2021) - 2020
- [j1]Emily L. Dolson
Interpreting the Tape of Life: Ancestry-Based Analyses Provide Insights and Intuition about Evolutionary Dynamics. Artif. Life 26(1): 58-79 (2020) - [i6]Alexander Lalejini, Matthew Andres Moreno, Charles Ofria:
Tag-based Genetic Regulation for Genetic Programming. CoRR abs/2012.09229 (2020)
2010 – 2019
- 2019
- [c13]Alexander Lalejini
Tag-accessed memory for genetic programming. GECCO (Companion) 2019: 346-347 - [c12]Clifford Bohm, Alexander Lalejini
MABE 2.0: an introduction to MABE and a road map for the future of MABE development. GECCO (Companion) 2019: 1349-1356 - [c11]Jose Guadalupe Hernandez, Alexander Lalejini
Random subsampling improves performance in lexicase selection. GECCO (Companion) 2019: 2028-2031 - [c10]Austin J. Ferguson, Jose Guadalupe Hernandez, Daniel Junghans, Alexander Lalejini
Characterizing the Effects of Random Subsampling on Lexicase Selection. GPTP 2019: 1-23 - [c9]Alexander Lalejini, Emily L. Dolson
Data Standards for Artificial Life Software. ALIFE 2019: 507-514 - 2018
- [c8]Alexander Lalejini
Evolving event-driven programs with SignalGP. GECCO 2018: 1135-1142 - [c7]Emily L. Dolson
Exploring Genetic Programming Systems with MAP-Elites. GPTP 2018: 1-16 - [c6]Alexander Lalejini
What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. GPTP 2018: 103-121 - [c5]Emily L. Dolson
Quantifying the Tape of Life: Ancestry-based Metrics Provide Insights and Intuition about Evolutionary Dynamics. ALIFE 2018: 75-82 - [c4]Alexander Lalejini
Evolving Reactive Agents with SignalGP. ALIFE 2018: 368-369 - [i5]Alexander Lalejini, Charles Ofria:
Evolving Event-driven Programs with SignalGP. CoRR abs/1804.05445 (2018) - [i4]Emily L. Dolson
Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics. PeerJ Prepr. 6: e26883 (2018) - [i3]Alexander Lalejini
Evolving reactive agents with SignalGP. PeerJ Prepr. 6: e26921 (2018) - [i2]Alexander Lalejini
What else is in an evolved name? Exploring evolvable specificity with SignalGP. PeerJ Prepr. 6: e27122 (2018) - [i1]Emily L. Dolson
Exploring genetic programming systems with MAP-Elites. PeerJ Prepr. 6: e27154 (2018) - 2017
- [c3]Alexander Lalejini
Gene duplications drive the evolution of complex traits and regulation. ECAL 2017: 257-264 - 2016
- [c2]Charles Ofria, Alexander Lalejini
The Evolutionary Origins of Phenotypic Plasticity. ALIFE 2016: 372-379 - 2014
- [c1]Alexander Lalejini, Dexter Duckworth, Richard Sween, Cindy L. Bethel, Daniel W. Carruth
Evaluation of supervisory control interfaces for mobile robot integration with tactical teams. ARSO 2014: 1-6
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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