The Late-Breaking Abstracts Workshop offers authors the opportunity to present 2-page abstracts at the Genetic and Evolutionary Computation Conference (GECCO) describing late-breaking developments in the field of genetic and evolutionary computation. LBAs will be included in the conference proceedings companion, available to all attendees of the conference and in the ACM Digital Library. For more information see the Call for LBAs.
| Title | Authors |
|---|---|
| Tree-Based Grammatical Evolution with Non-Encoding Nodes | Marina de la Cruz López (Universidad Complutense de Madrid), Oscar Garnica (Universidad Complutense de Madrid), J. Ignacio Hidalgo (Universidad Complutense de Madrid) |
| Towards Benchmarking of Pathfinding Algorithms in Path-Influenced Environments | Julia Heise (Otto-von-Guericke University), Jens Weise (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University) |
| Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classification | Bogdan Ruszczak (Opole University of Technology) |
| Evolutionary configuration of the Temporal Convolutional Network for the electricity price prediction | Bogdan Ruszczak (Opole University of Technology) |
| Unexplained Fluctuations in Particle Swarm Optimisation Performance with Increasing Problem Dimensionality | Kevin Graham (University of Stirling), Sarah Thomson (University of Stirling), Alexander Brownlee (University of Stirling) |
| Genetic Algorithm-based Feature Selection for Machine Learning System Diagnosing Sarcopenia with Survey Data | Jaehyeong Lee (Gachon University), Yoon Choi (Gachon University), Yourim Yoon (Gachon University) |
| Estimation of Interstitial Glucose from physical activity measures using Grammatical Evolution | Carlos Cervigón (Universidad Complutense de Madrid), J. Ignacio Hidalgo (Universidad Complutense de Madrid) |
| Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow | Khoa Tran (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)), Luc Truong (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)), An Vo (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)), Ngoc Hoang Luong (University of Information Technology (UIT), Vietnam National University Ho Chi Minh City (VNU-HCM)) |
| Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing | Francesca Da Ros (University of Udine, Intelligent Optimization Lab), Luca Di Gaspero (University of Udine, Intelligent Optimization Lab) |
| Optimizing Telemetry Signal Influence for Power Consumption Prediction | Pawel Benecki (Silesian University of Technology), Daniel Kostrzewa (Silesian University of Technology), Piotr Grzesik (Silesian University of Technology), Bohdan Shubyn (Silesian University of Technology), Dariusz Mrozek (Silesian University of Technology) |
| Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares | Fergal Stapleton (Maynooth University, Hamilton Institute), Edgar Galvan (Maynooth) |
| Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction | Jorge Cano (Universidad Complutense de Madrid), J. Ignacio Hidalgo (Universidad Complutense de Madrid), Óscar Garnica (Universidad Complutense de Madrid), Juan Lanchares (Universidad Complutense de Madrid) |
| Evolutionary Algorithms: A new hope for the future of music teaching | Francisco Fernández de Vega (University of Extremadura), Jorge Alvarado (University of Extremadura), Abel Sánchez (University of Extremadura), Manuel Serrano (University of Extremadura), Elia Pacioni (University of Extremadura) |
| Parallel Cooperative Memetic Co-evolution for VRPTW | Miroslaw Blocho (Future Processing), Tomasz Jastrzab (Silesian University of Technology), Jakub Nalepa (Silesian University of Technology) |
| Toward Symbolic Regression based Model Transform for Convolutional Neural Network | Kisung Seo (Seokyeong University), Seok Beom Roh (Seokyeong University), Soonyong Gwon (Seokyeong University) |
| Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution | Daniel Parra (Universidad Complutense de Madrid), Alberto Gutiérrez-Gallego (Biztools S.L., Universidad Complutense de Madrid), Jose Manuel Velasco (Universidad Complutense de Madrid), Rafael-Jacinto Villanueva (Universidad Politecnica de Valencia), J. Ignacio Hidalgo (Universidad Complutense de Madrid) |
| Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections | Jakub Sadel (KP Labs), Michal Kawulok (Silesian University of Technology), Mateusz Przeliorz (KP Labs), Jakub Nalepa (Silesian University of Technology), Daniel Kostrzewa (Silesian University of Technology) |
| Tackling Adversarial Faults in Panmictic Evolutionary Algorithms | Carlos Cotta (University of Málaga) |