The Hot-Off-the-Press track offers authors of recent papers the opportunity to present their work to the GECCO community, both by giving a talk on one of the three main days of the conference and by having a 2-page abstract appear in the proceedings companion, in which also the workshop papers, late-breaking abstracts, and tutorials appear. For more information see the Call for Hot off the Press.
Accepted Papers
| Title | Authors |
|---|---|
| A bi-level hybrid PSO – MIP solver approach to define dynamic tariffs and estimate bounds for an electricity retailer profit | Inês Soares (INESC Coimbra); Maria João Alves (INESC Coimbra, CeBER and FEUC); and Carlos Henggeler Antunes (INESC Coimbra and DEEC-UC) |
| A Suite of Computationally Expensive Shape Optimisation Problems Using Computational Fluid Dynamics | Steven Daniels (University of Exeter); Alma Rahat (University of Plymouth, University of Exeter); and Richard Everson, Gavin Tabor, and Jonathan Fieldsend (University of Exeter) |
| Analysing Heuristic Subsequences for Offline Hyper-heuristic Learning | William B. Yates and Edward C. Keedwell (University of Exeter) |
| Combining Artificial Neural Networks and Evolution to Solve Multiobjective Knapsack Problems | Roman Denysiuk (CEA LIST), António Gaspar-Cunha (University of Minho), and Alexandre C. B. Delbem (University of São Paulo) |
| Data-Driven Multi-Objective Optimisation of Coal-Fired Boiler Combustion System | Alma Rahat (University of Plymouth, University of Exeter); Chunlin Wang (Hangzhou Dianzi University); and Richard Everson and Jonathan Fieldsend (University of Exeter) |
| Discovering Test Statistics Using Genetic Programming | Jason H. Moore, Randal S. Olson, Yong Chen, and Moshe Sipper (University of Pennsylvania) |
| EBIC: a scalable biclustering method for large scale data analysis | Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology) and Jason H. Moore (University of Pennsylvania) |
| Gaussian Process Surrogate Models for the CMA-ES | Lukas Bajer (Cisco Systems, The Czech Academy of Sciences); Zbynek Pitra (The Czech Academy of Sciences, Czech Technical University); Jakub Repicky (Charles University, The Czech Academy of Sciences); and Martin Holena (The Czech Academy of Sciences) |
| Generating Interpretable Reinforcement Learning Policies using Genetic Programming | Daniel Hein (Siemens AG, Technical University of Munich); Steffen Udluft (Siemens AG); and Thomas A. Runkler (Siemens AG, Technical University of Munich) |
| Guiding Neuroevolution with Structural Objectives | Kai Olav Ellefsen (University of Oslo), Joost Huizinga (Uber AI Labs), and Jim Torresen (University of Oslo) |
| Hot Off the Press in Expert Systems on Underwater Robotic Missions: Success History Applied to Differential Evolution for Underwater Glider Path Planning | Aleš Zamuda (University of Maribor) and José Daniel Hernández Sosa (Universidad de Las Palmas de Gran Canaria) |
| Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization | Krzysztof Michalak (Wroclaw University of Economics) |
| Stochastic Program Synthesis via Recursion Schemes | Jerry Swan (University of York); Krzysztof Krawiec (Poznan University of Technology, Center for Artificial Intelligence and Machine Learning); and Zoltan A. Kocsis (University of Manchester) |
| The (1+1)-EA with mutation rate (1+eps)/n is efficient on monotone functions: an entropy compression argument | Johannes Lengler, Anders Martinsson, and Angelika Steger (ETH Zurich) |
| Understanding Exploration and Exploitation Powers of Meta-heuristic Stochastic Optimization Algorithms through Statistical Analysis | Tome Eftimov (Jožef Stefan Institute, Stanford University) and Peter Korošec (Jožef Stefan Institute) |