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
Indirect Credit Without A Heuristic For Coevolving AgentsEverardo Gonzalez (Oregon State University), Raghav Thakar (Oregon State University), Kagan Tumer (Oregon State University)
Towards Swarms of Long Heavy Articulated VehiclesAdrian Schönnagel (Otto-von-Guericke University, Fraunhofer IVI), Michael Dubé (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University, Fraunhofer IVI)
Resilience of Evolutionary Algorithms to Aggressive Compilation OptimizationCarlos Cotta (Universidad de Málaga), Jesús Martínez-Cruz (Universidad de Málaga)
Walking School Bus PlanningLeena Hassan Nasir Ahmed (Lancaster University), Matthias Ehrgott (Lancaster University), Judith Y.T. Wang (University of Leeds), Ahmed Kheiri (Alliance Manchester Business School)
Initial Population of NSGA-II for Solving Similar Multi-Objective Optimization ProblemsYuji Sato (Hosei University), Mikiko Sato (Tokai University)
Numerical Global Optimization Competition on GNBG-II generated Test SuiteRohit Salgotra (AGH University of Krakow), Amir H. Gandomi (University of Technology Sydney), Kalyanmoy Deb (Michigan State University)
Evolutionary Manifold Learning for Automated Extraction of Data TopologyJulia Borisova (ITMO University), Alexander Hvatov (ITMO University)
Introducing H-Leading-Ones as a Mixed-Category Benchmark Problem for Evolutionary AlgorithmsCôme Frappé - - Vialatoux (University of Strasbourg, EPITA), Pierre Parrend (EPITA, University of Strasbourg)
A Novel Metaheuristic Approach to Monolith Decomposition into MicroservicesAna Martínez Saucedo (UADE, CONICET), Guillermo Rodriguez (CONICET, ISISTAN), Virginia Yannibelli (ISISTAN)
Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep LearningGleb Solovev (ITMO University), Mikhail Sokolov (ITMO University), Aveen Hussein (ITMO University), Nikolay Nikitin (ITMO University)
From Trees to Cuts: Statistical Insights into Spanning-Tree-Based Max-Cut AlgorithmsHo-Jun Jang (Kwangwoon University), Yong-Hyuk Kim (Kwangwoon University)
Towards Automated Innovization for Route Planning: Innovized Heuristics and Problem Class BoundsEva Röper (Otto-von-Guericke-University Magdeburg), Christoph Steup (Fraunhofer IVI), Sanaz Mostaghim (Otto-von-Guericke-University Magdeburg, Fraunhofer IVI)
Applying Multi-Objective Differential Evolution for IoT Application Design in the Edge-Cloud ContinuumGianluigi Folino (ICAR-CNR), Antonio Francesco Gentile (ICAR-cNR), Rosa Varchera (ICAR-CNR), Andrea Vinci (ICAR-CNR)