Best Paper Nominations

  • The following papers won the Best Paper Award.
  • CS - Data-efficient Neuroevolution with Kernel-Based Surrogate Models. Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret.
  • DETA+THEORY+GECH - Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network. Vanessa Volz, Jacob Schrum, Jialin Liu, Simon Lucas, Adam Smith, Sebastian Risi.
  • ECOM - Enhancing Partition Crossover with Articulation Points Analysis. Francisco Chicano, Gabriela Ochoa, Darrell Whitley, Renato Tinos.
  • EML - Evolving Bagging Ensembles Using a Spatially-Structured Niching Method. Grant Dick, Caitlin Owen, Peter Whigham.
  • EMO - A New R2 Indicator for Better Hypervolume Approximation. Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu.
  • ENUM - PSA-CMA-ES: CMA-ES with Population Size Adaptation. Kouhei Nishida, Youhei Akimoto.
  • GA - Tunneling Between Plateaus: Improving on a State-of-the-Art MAXSAT Solver using Partition Crossover. Wenxiang Chen, Darrell Whitley, Francisco Chicano, Renato Tinos.
  • GP - Program Synthesis using Uniform Mutation by Addition and Deletion. Thomas Helmuth, Nicholas McPhee, Lee Spector.
  • RWA - Benchmarking Evolutionary Computation Approaches to Insider Threat Detection. Duc Le, Sara Khanchi, A. Nur Zincir-Heywood, Malcolm Heywood.
  • 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.
TrackTitleAuthors
CSData-efficient Neuroevolution with Kernel-Based Surrogate ModelsAdam Gaier (Bonn-Rhein-Sieg University of Applied Sciences, Inria), Alexander Asteroth (Bonn-Rhein-Sieg University of Applied Sciences), Jean-Baptiste Mouret (Inria)
EMLWhat About Interpolation? A Radial Basis Function Approach to Classifier Prediction Modeling in XCSFAnthony Stein (University of Augsburg), Simon Menssen (University of Augsburg), Jörg Hähner (University of Augsburg)
RWAGenetic Programming for Tuberculosis Screening from Raw X-ray ImagesArmand Burks (Michigan State University), William Punch (Michigan State University)
TheoryDomino Convergence: Why One Should Hill-Climb on Linear FunctionsCarsten Witt (Technical University Of Denmark)
ECOMOne-Class Constraint Acquisition with Local SearchDaniel Sroka (Institute of Computing Science, Poznan University of Technology), Tomasz Pawlak (Institute of Computing Science, Poznan University of Technology)
RWABenchmarking Evolutionary Computation Approaches to Insider Threat DetectionDuc Le (Dalhousie University), Sara Khanchi (Dalhousie University), A. Nur Zincir-Heywood (Dalhousie University), Malcolm Heywood (Dalhousie University)
GARuntime Analysis of Probabilistic Crowding and Restricted Tournament Selection for Bimodal OptimisationEdgar Covantes Osuna (The University of Sheffield), Dirk Sudholt (The University of Sheffield)
CSEvolution of a Functionally Diverse Swarm via a Novel Decentralised QD AlgorithmEmma Hart (Edinburgh Napier University), Andreas Steyven (Edinburgh Napier University), Ben Paechter (Edinburgh Napier University)
ECOMEnhancing Partition Crossover with Articulation Points AnalysisFrancisco Chicano (University of Malaga), Gabriela Ochoa (University of Stirling), Darrell Whitley (Colorado State University), Renato Tinós (University of Sao Paulo)
EMLEvolving Bagging Ensembles Using a Spatially-Structured Niching MethodGrant Dick (University of Otago, Information Science Dept.), Caitlin Owen (University of Otago, Information Science Dept.), Peter Whigham (University of Otago, Information Science Dept.)
EMOMulti-Objective Evolutionary Hyper-heuristic based on Multiple Indicator-based Density EstimatorsJesús Guillermo Falcón-Cardona (CINVESTAV-IPN), Carlos Artemio Coello Coello (CINVESTAV-IPN)
GPSolving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic ProgrammingJoao Francisco Martins (Universidade Federal de Minas Gerais), Luiz Otavio Oliveira (Universidade Federal de Minas Gerais), Luis Fernando Miranda (Universidade Federal de Minas Gerais), Felipe Casadei (Universidade Federal de Minas Gerais), Gisele Pappa (Universidade Federal de Minas Gerais)
CSSafe Mutations for Deep and Recurrent Neural Networks through Output GradientsJoel Lehman (Uber AI Labs), Jay Chen (Uber AI Labs), Jeff Clune (Uber AI Labs), Kenneth Stanley (Uber AI Labs)
GALearning Bayesian Network Structures with GOMEAKalia Orphanou (Centrum Wiskunde & Informatica (CWI)), Dirk Thierens (Utrecht University), Peter Bosman (Centrum Wiskunde & Informatica (CWI))
EMOA new R2 indicator for better hypervolume approximationKe Shang (Southern University of Science and Technology, Southeast University), Hisao Ishibuchi (Southern University of Science and Technology, Osaka Prefecture Univeristy), Min-Ling Zhang (Southeast University), Yiping Liu (Osaka Prefecture Univeristy)
ENUMPSA-CMA-ES: CMA-ES with Population Size AdaptationKouhei Nishida (Shinshu University), Youhei Akimoto (University of Tsukuba)
EMOData-Driven Analysis of Pareto Set TopologyNaoki Hamada (Fujitsu Laboratories Ltd.), Keisuke Goto (Fujitsu Laboratories Ltd.)
GPWhere are we now? A large benchmark study of recent symbolic regression methodsPatryk Orzechowski (University of Pennsylvania), William La Cava (University of Pennsylvania), Jason Moore (University of Pennsylvania)
ENUMAn Empirical Comparison of Metamodeling Strategies in Noisy EnvironmentsSunith Bandaru (University of Skövde), Amos Ng (University of Skövde)
GPProgram Synthesis using Uniform Mutation by Addition and DeletionThomas Helmuth (Hamilton College), Nicholas McPhee (University of Minnesota, Morris), Lee Spector (Hampshire College)
EMLEvolved GANs for generating Pareto set approximationsUnai Garciarena (University of the Basque Country), Alexander Mendiburu (University of the Basque Country), Roberto Santana (University of the Basque Country)
DETAEvolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial NetworkVanessa Volz (TU Dortmund University), Jacob Schrum (Southwestern University), Jialin Liu (Queen Mary University of London), Simon Lucas (Queen), Adam Smith (University of California, Santa Cruz), Sebastian Risi (IT University of Copenhagen)
GECHWorking Principles of Binary Differential EvolutionWeijie Zheng (Department of Computer Science and Technology, Tsinghua University), Guangwen Yang (Department of Computer Science and Technology, Tsinghua University), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX))
GATunneling Between Plateaus: Improving on a State-of-the-Art MAXSAT Solver using Partition CrossoverWenxiang Chen (Colorado State University), Darrell Whitley (Colorado State University, Computer Science), Francisco Chicano (University of Málaga), Renato Tinos (University of Saõ Paulo)