- 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.
List of Best Paper Nominations
Track | Title | Authors |
---|---|---|
EMO | Greedy Approximated Hypervolume Subset Selection for Many-objective Optimization | Ke Shang, Hisao Ishibuchi, and Weiyu Chen (Southern University of Science and Technology) |
Theory | Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Matter | Mario Alejandro Hevia Fajardo (The University of Sheffield) and Dirk Sudholt (University of Passau) |
EMO | Landscape Features and Automated Algorithm Selection for Multi-objective Interpolated Continuous Optimisation Problems | Arnaud Liefooghe (Univ. Lille, Inria Lille - Nord Europe); Sébastien Verel (Université du Littoral Côte d'Opale); and Benjamin Lacroix, Alexandru-Ciprian Zăvoianu, and John McCall (Robert Gordon University) |
ECOM | A Graph Coloring based Parallel Hill Climber for Large-scale NK-landscapes | Bilel Derbel (Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189 CRIStAL) and Lorenzo Canonne (Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL) |
EMO | Pareto Compliance from a Practical Point of View | Jesús Guillermo Falcón-Cardona, Saúl Zapotecas-Martínez, and Abel García-Nájera (Universidad Autónoma Metropolitana Unidad Cuajimalpa) |
ECOM | Genetic Algorithm Niching by (Quasi-)Infinite Memory | Adrian Worring, Benjamin Eugen Mayer, and Kay Hamacher (TU Darmstadt) |
CS | Biodiversity in Evolved Voxel-based Soft Robots | Eric Medvet, Federico Pigozzi, Alberto Bartoli, and Marco Rochelli (DIA, University of Trieste, Italy) |
EML | Signal Propagation in a Gradient-Based and Evolutionary Learning System | Jamal Toutouh (Massachusetts Institute of Technology, University of Málaga) and Una-May O'Reily (Massachusetts Institute of Technology) |
RWA | Evolutionary Minimization of Traffic Congestion | Maximilian Böther, Leon Schiller, Philipp Fischbeck, and Louise Molitor (Hasso Plattner Institute, University of Potsdam); Martin S. Krejca (Sorbonne University); and Tobias Friedrich (Hasso Plattner Institute, University of Potsdam) |
GP | Towards Effective GP Multi-Class Classification Based on Dynamic Targets | Stefano Ruberto (Joint Research Centre), Valerio Terragni (The University of Auckland), and Jason H. Moore (University of Pennsylvania) |
ENUM | A Matrix Adaptation Evolution Strategy for Optimization on General Quadratic Manifolds | Patrick Spettel and Hans-Georg Beyer (Vorarlberg University of Applied Sciences) |
RWA | Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution | Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, and Youhei Akimoto (University of Tsukuba, RIKEN AIP) |
CS | Sparse Reward Exploration via Novelty Search and Emitters | Giuseppe Paolo (Sorbonne University, Softbank Robotics Europe); Alexandre Coninx and Stephane Doncieux (Sorbonne University); and Alban Laflaquière (Softbank Robotics Europe) |
NE | Policy Gradient Assisted MAP-Elites | Olle Nilsson and Antoine Cully (Imperial College) |
GP | A Generalizability Measure for Program Synthesis with Genetic Programming | Dominik Sobania and Franz Rothlauf (University of Mainz) |
GP | PSB2: The Second Program Synthesis Benchmark Suite | Thomas Helmuth and Peter Kelly (Hamilton College) |
GA | A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning | Arkadiy Dushatskiy (Centrum Wiskunde & Informatica); Tanja Alderliesten (Leiden University Medical Center); and Peter A. N. Bosman (Centrum Wiskunde & Informatica, TU Delft) |
GECH | Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search | Alexander Hagg (Bonn-Rhein-Sieg University of Applied Sciences, Leiden Institute of Advanced Computer Science); Sebastian Berns (Queen Mary University of London); Alexander Asteroth (Bonn-Rhein-Sieg University of Applied Sciences); Simon Colton (Queen Mary University of London, Monash University); and Thomas Bäck (Leiden Institute of Advanced Computer Science) |
ACO-SI | A Rigorous Runtime Analysis of the 2-MMAS on Jump Functions: Ant Colony Optimizer Can Cope Well With Local Optima | Riade Benbaki and Ziyad Benomar (École Polytechnique) and Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
GA | Analysis of Evolutionary Diversity Optimisation for Permutation Problems | Anh Viet Do, Mingyu Guo, Aneta Neumann, and Frank Neumann (The University of Adelaide) |