Logistic Loss: A Novel Fitness Function to Increase Generalisation and Performance for Binary Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8934

@InProceedings{Duan:2026:GECCOcomp,

• author = "Jiajun Duan and Miguel Nicolau and Michael O'Neill",
• title = "Logistic Loss: A Novel Fitness Function to Increase Generalisation and Performance for Binary Classification",
• booktitle = "Proceedings of the 2026 Genetic and Evolutionary Computation Conference",
• year = "2026",
• editor = "Nelishia Pillay and Gabriel Kronberger and Leonardo Trujillo and Ting Hu and Sebastian {Rojas Gonzalez} and Saul {Calderon Ramirez} and Stephan Winkler and Yazmin Maldonado and James McDermott and Jose Manuel {Munoz Contreras} and Giorgia Nadizar and Marcella {Scoczynski Ribeiro Martins} and Hirad Assimi and Mario Andres Munoz and Oliver Cuate and Daniel Hernandez and Yanan Sun and Edgar Galvan and Aniko Ekart and Nadarajen Veerapen",
• address = "San Jose, Costa Rica",
• series = "GECCO '26",
• month = "13-17 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming: Poster",
• notes = "GECCO-2026 A Recombination of the 35th International Conference on Genetic Algorithms (ICGA) and the 31st Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Jiajun Duan Miguel Nicolau Michael O'Neill

Citations