20th Annual Humies Awards — 2023 — Lisbon, Portugal

Outcome Authors Paper(s) Statement Presentation Media Algorithm Type
Silver Jordan MacLachlan Yi Mei Fangfang Zhang Mengjie Zhang Jessica Signal Learning Emergency Medical Dispatch Policies via GP Entry Form Slides Video Genetic Programming
Raz Lapid Zvika Haramaty Moshe Sipper An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks Entry Form Genetic Algorithm (GA)
Robert Tjarko Lange Tom Schaul Yutian Chen Zahavy Chris Lu Valentin Dalibard Satinder Singh Sebastian Flennerhag Discovering Evolution Strategies using Meta-Black-Box Optimization Discovering Attention-Based Genetic Algorithms using Meta-Black-Box Optimization Entry Form Evolution Strategies (ES) and Genetic Algorithms (GA)
Leonardo Lucio Custode Federico Mento Sajjad Afrakhteh Francesco Tursi Andrea Smargiassi Riccardo Inchingolo Tiziano Perrone Giovanni Iacca Libertario Demi Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees Entry Form GE (Grammatical Evolution) with NSGA-II
Chris Lu Alistair Letcher Luke Metz Christian Schroeder de Witt Discovered Policy Optimisation Entry Form Evolution Strategies (ES)
Finalist Ritwik Murali Palanisamy Thangavel C. Shunmuga Velayutham Evolving malware variants as antigens for antivirus systems Adapting novelty towards generating antigens for antivirus systems Entry Form Slides Video Genetic Programming (GP)
Bronze Julia Reuter Hani Elmestikawy Sanaz Mostaghim Berend van Wachem Fabien Evrard Manoj Cendrollu Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows Entry Form Slides GP (Genetic Programming)
Ofer Shir Boris Yazmir Assaf Israeli Dan Gamrasni Algorithmically-Guided Postharvest Protocols by Experimental Combinatorial Optimization Entry Form Mixed-Integer Evolution Strategy (MIES)
Yi Song Xiaoyuan Xie Xihao Zhang Quanming Liu Ruizhi Gao Evolving Ranking-Based Failure Proximities for Better Clustering in Fault Isolation Entry Form GP (genetic programming)
Finalist Vadim Liventsev Anastasiia Grishina Aki Härmä Leon Moonen Fully Autonomous Programming with Large Language Models Entry Form Slides Video GP (genetic programming), GI (genetic improvement)
Claude Carlet Luca Mariot Luca Manzoni Stjepan Picek Evolutionary Strategies for the Design of Binary Linear Codes Entry Form ES (Evolutionary Strategies)
Finalist Marina De La Cruz Carlos Cervig¢n Jorge Alvarado Marta Botella-Serrano J Ignacio Hidalgo Evolving Classification Rules for Predicting Hypoglycemia Events Entry Form Slides Grammatical Evolution (GE)
Nikita Starodubcev Nikolay Nikitin Elizaveta Andronova Konstantin Gavaza Denis Sidorenko Anna Kalyuzhnaya Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks Generative design of physical objects using modular framework Entry Form GA (Genetic Algorithm)
Cristian Sandoval Cuate Oliver Gonzalez Luis C Gonzalez Leonardo Trujillo Oliver Schütze Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming Entry Form Genetic Programming (GP)
Silver William La Cava Paul C. Lee Imran Ajmal Xiruo Ding Priyanka Solanki Jordana B. Cohen Jason Moore Daniel Herman A flexible symbolic regression method for constructing interpretable clinical prediction models Entry Form Slides GP (Genetic Programming)
Finalist Atoosa Parsa Sven Witthaus Nidhi Pashine Corey S. O'Hern Rebecca Kramer-Bottiglio Josh Bongard Universal Mechanical Polycomputation in Granular Matter Evolving Programmable Computational Metamaterials Entry Form Slides Video Genetic Algorithms (GA), Age-Fitness Pareto Optimization (AFPO)
Gold Joel Kuepper Andres Erbsen Jason Gross Owen Conoly Chuyue Sun Samuel Tian David Wu Adam Chlipala Chitchanok Chuengsatiansun Daniel Genkin Markus Wagner Yuval Yarom CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives Entry Form Slides Genetic Improvement
Boris Almonacid AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning Entry Form AutoMH (Automatically Metaheuristic) & RL (Reinforcement Learning)
Alexander Hvatov Mikhail Maslyaev Elizaveta Ivanchik Comparison of Single- and Multi- Objective Optimization Quality for Evoltionary Discovery Directed differential equation discovery using modified mutation and cross-over operators Multiobjective evolutionary discovery of equation-based analytical models for dynamical systems Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations Entry Form GP (Genetic Programming)
Outcome
Silver
Authors
Jordan MacLachlan Yi Mei Fangfang Zhang Mengjie Zhang Jessica Signal
Algorithm Type
Genetic Programming
Paper(s)
Learning Emergency Medical Dispatch Policies via GP
Statement
Entry Form
Presentation
Slides
Media
Video
Authors
Raz Lapid Zvika Haramaty Moshe Sipper
Algorithm Type
Genetic Algorithm (GA)
Paper(s)
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks
Statement
Entry Form
Authors
Robert Tjarko Lange Tom Schaul Yutian Chen Zahavy Chris Lu Valentin Dalibard Satinder Singh Sebastian Flennerhag
Algorithm Type
Evolution Strategies (ES) and Genetic Algorithms (GA)
Paper(s)
Discovering Evolution Strategies using Meta-Black-Box Optimization Discovering Attention-Based Genetic Algorithms using Meta-Black-Box Optimization
Statement
Entry Form
Authors
Leonardo Lucio Custode Federico Mento Sajjad Afrakhteh Francesco Tursi Andrea Smargiassi Riccardo Inchingolo Tiziano Perrone Giovanni Iacca Libertario Demi
Algorithm Type
GE (Grammatical Evolution) with NSGA-II
Paper(s)
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
Statement
Entry Form
Authors
Chris Lu Alistair Letcher Luke Metz Christian Schroeder de Witt
Algorithm Type
Evolution Strategies (ES)
Paper(s)
Discovered Policy Optimisation
Statement
Entry Form
Outcome
Finalist
Authors
Ritwik Murali Palanisamy Thangavel C. Shunmuga Velayutham
Algorithm Type
Genetic Programming (GP)
Paper(s)
Evolving malware variants as antigens for antivirus systems Adapting novelty towards generating antigens for antivirus systems
Statement
Entry Form
Presentation
Slides
Media
Video
Outcome
Bronze
Authors
Julia Reuter Hani Elmestikawy Sanaz Mostaghim Berend van Wachem Fabien Evrard Manoj Cendrollu
Algorithm Type
GP (Genetic Programming)
Paper(s)
Towards Improving Simulations of Flows around Spherical Particles Using Genetic Programming Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
Statement
Entry Form
Presentation
Slides
Authors
Ofer Shir Boris Yazmir Assaf Israeli Dan Gamrasni
Algorithm Type
Mixed-Integer Evolution Strategy (MIES)
Paper(s)
Algorithmically-Guided Postharvest Protocols by Experimental Combinatorial Optimization
Statement
Entry Form
Authors
Yi Song Xiaoyuan Xie Xihao Zhang Quanming Liu Ruizhi Gao
Algorithm Type
GP (genetic programming)
Paper(s)
Evolving Ranking-Based Failure Proximities for Better Clustering in Fault Isolation
Statement
Entry Form
Outcome
Finalist
Authors
Vadim Liventsev Anastasiia Grishina Aki Härmä Leon Moonen
Algorithm Type
GP (genetic programming), GI (genetic improvement)
Paper(s)
Fully Autonomous Programming with Large Language Models
Statement
Entry Form
Presentation
Slides
Media
Video
Authors
Claude Carlet Luca Mariot Luca Manzoni Stjepan Picek
Algorithm Type
ES (Evolutionary Strategies)
Paper(s)
Evolutionary Strategies for the Design of Binary Linear Codes
Statement
Entry Form
Outcome
Finalist
Authors
Marina De La Cruz Carlos Cervig¢n Jorge Alvarado Marta Botella-Serrano J Ignacio Hidalgo
Algorithm Type
Grammatical Evolution (GE)
Paper(s)
Evolving Classification Rules for Predicting Hypoglycemia Events
Statement
Entry Form
Presentation
Slides
Authors
Nikita Starodubcev Nikolay Nikitin Elizaveta Andronova Konstantin Gavaza Denis Sidorenko Anna Kalyuzhnaya
Algorithm Type
GA (Genetic Algorithm)
Paper(s)
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks Generative design of physical objects using modular framework
Statement
Entry Form
Authors
Cristian Sandoval Cuate Oliver Gonzalez Luis C Gonzalez Leonardo Trujillo Oliver Schütze
Algorithm Type
Genetic Programming (GP)
Paper(s)
Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming
Statement
Entry Form
Outcome
Silver
Authors
William La Cava Paul C. Lee Imran Ajmal Xiruo Ding Priyanka Solanki Jordana B. Cohen Jason Moore Daniel Herman
Algorithm Type
GP (Genetic Programming)
Paper(s)
A flexible symbolic regression method for constructing interpretable clinical prediction models
Statement
Entry Form
Presentation
Slides
Outcome
Finalist
Authors
Atoosa Parsa Sven Witthaus Nidhi Pashine Corey S. O'Hern Rebecca Kramer-Bottiglio Josh Bongard
Algorithm Type
Genetic Algorithms (GA), Age-Fitness Pareto Optimization (AFPO)
Paper(s)
Universal Mechanical Polycomputation in Granular Matter Evolving Programmable Computational Metamaterials
Statement
Entry Form
Presentation
Slides
Media
Video
Outcome
Gold
Authors
Joel Kuepper Andres Erbsen Jason Gross Owen Conoly Chuyue Sun Samuel Tian David Wu Adam Chlipala Chitchanok Chuengsatiansun Daniel Genkin Markus Wagner Yuval Yarom
Algorithm Type
Genetic Improvement
Paper(s)
CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives
Statement
Entry Form
Presentation
Slides
Authors
Boris Almonacid
Algorithm Type
AutoMH (Automatically Metaheuristic) & RL (Reinforcement Learning)
Paper(s)
AutoMH: Automatically Create Evolutionary Metaheuristic Algorithms Using Reinforcement Learning
Statement
Entry Form
Authors
Alexander Hvatov Mikhail Maslyaev Elizaveta Ivanchik
Algorithm Type
GP (Genetic Programming)
Paper(s)
Comparison of Single- and Multi- Objective Optimization Quality for Evoltionary Discovery Directed differential equation discovery using modified mutation and cross-over operators Multiobjective evolutionary discovery of equation-based analytical models for dynamical systems Solver-Based Fitness Function for the Data-Driven Evolutionary Discovery of Partial Differential Equations
Statement
Entry Form