Accepted Late-breaking Abstracts


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.

TitleAuthors
Generative Design of Microfluidic Channel Geometry Using Evolutionary ApproachNikolay Nikitin, Alexander Hvatov, Iana Polonskaia, and Anna Kalyuzhnaya (ITMO University) and Georgii Grigorev, Xiaohao Wang, and Xiang Qian (National Tsing Hua University)
k-Pareto Optimality for Many-Objective Genetic OptimizationJean Ruppert (Mathematics and Computing S.à.r.l.) and Marharyta Aleksandrova and Thomas Engel (University of Luxembourg)
A software library for archiving nondominated pointsDuarte Manuel Dias, Alexandre Daniel Jesus, and Luis Paquete (University of Coimbra)
Rapid Prototyping of Evolution-Driven Biclustering Methods in JuliaPaweł Renc (AGH University of Science and Technology); Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology); Jarosław Wąs and Aleksander Byrski (AGH University of Science and Technology); and Jason H. Moore (University of Pennsylvania)
An Interactive Tool for Enhancing Hospital Capacity Predictions Using an Epidemiological ModelFinley Gibson (Swansea University, University of Exeter) and Rhodri Fabbro, Alma Rahat, Thomas Torsney-Weir, Daniel Archambault, Michael Gravenor, and Biagio Lucini (Swansea University)
An Improved Predictor of Daily Stock Index Based on a Genetic FilterDong-Hee Cho, Seung-Hyun Moon, and Yong-Hyuk Kim (Kwangwoon Univ.)
A new Hybrid Evolutionary Algorithm for Dial-A-Ride ProblemsSonia Nasri (Business Higher School), Hend Bouziri (Higher School of Economics and Business), and Wassila Aggoune-Matalaa (Luxembourg Institute of Science and Technology)
Algorithm Selection using Transfer LearningNiranjana Deshpande and Naveen Sharma (Rochester Institute of Technology)
Winner Prediction for Real-time Strategy Games through Feature Selection Based on a Genetic WrapperSeung-Soo Shin and Yong-Hyuk Kim (Kwangwoon Univ.)