- The following papers have been nominated for a Best Paper Award.
- For each Best Paper (one per track, or group of small tracks), the final choice will be made by GECCO attendees : all nominees running for the same Best Paper will be presented during the same session, and the session attendees will vote at the end of all presentations.
- GECCO is over, the list of winners is available here.
| Track | Title | Authors |
|---|---|---|
| GP | The Impact of Hyperselection on Lexicase Selection | Thomas Helmuth (Washington and Lee University)
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| GA | Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms | Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))
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| GA | Breaking the Billion Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm | Kalyanmoy Deb (Michigan State University)
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| CS | Identifying Core Functional Networks and Functional Nodules within Neural Networks via Subsets Regression | Roby Velez (University of Wyoming)
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| CS | Quantifying Deception: A Case Study in the Evolution of Antimicrobial Resistance | Margaret J. Eppstein (University of Vermont)
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| EML | Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Data Sets | John P. Hanley (University of Vermont)
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| RWA | Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties | Zhichao Lu (Michigan State University)
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| EMO | Active Learning and Multi-Objective Evolutionary Algorithms for Sustainable Building Design | Siamak Safarzadegan Gilan (georgia institute of technology)
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| EML | Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science | Randal Shadburt Olson (University of Pennsylvania)
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| EMO | A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization | Rayan Zakaria Hussein (Michigan State University)
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| PES | Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms | Eric O. Scott (George Mason University)
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| CO | Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling | Asma Atamna (Inria)
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| GP | Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network | Ting Hu (Memorial University)
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| EMO | A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates | Raquel Hernández (CINVESTAV-IPN)
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| SBSE | Learning Overtime Dynamics Through Multiobjective Optimization | Márcio de Oliveira Barros (Federal University of the State of Rio de Janeiro)
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| RWA | Planning Inspection Paths through Evolutionary Multi-objective Optimization | Kai Olav Ellefsen (SENAI CIMATEC)
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| ACO-SI | Update Strength in EDAs and ACO: How to Avoid Genetic Drift | Dirk Sudholt (University of Sheffield)
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| ECOM | Extension of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances | Christian Blum (UPV/EHU Ikerbasque)
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| ECOM | On the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem | Junhua Wu (University of Adelaide)
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| RWA | A Real World Multi-UAV Evolutionary Planner for Minimum Time Target Detection | Sara Perez-Carabaza (Universidad Complutense de Madrid)
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| ECOM | Multi-objective Neutral Neighbors? What could be the definition(s)? | Marie-Eléonore Marmion (University of Lille)
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| DETA | Demonstrating the Feasibility of Automatic Game Balancing | Vanessa Volz (TU Dortmund University)
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| THEORY | The (1+1) Elitist Black-Box Complexity of LeadingOnes is $\Theta(n^2)$ | Carola Doerr (CNRS and UPMC Paris)
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| GP | A Dispersion Operator for Geometric Semantic Genetic Programming | Luiz Otavio V. B. Oliveira (UFMG)
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| RWA | Tackling the IFP Problem with the Preference-Based Genetic Algorithm | Sune Steinbjorn Nielsen (University of Luxembourg)
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| EML | Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks | Gregory Morse (University of Central Florida)
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