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
Modeling in Efficient Evolutionary Multiobjective Clustering AlgorithmNan Sun (Jiangnan University), Shuwei Zhu (Jiangnan University)
Online Feature Subset Selection in Streaming Features by Parallel Evolutionary AlgorithmsYelleti Vivek (Institute for Development and Research in Banking Technology, National Institute of Technology Warangal), Vadlamani Ravi (Institute for Development and Research in Banking Technology), P. Radha Krishna (National Institute of Technology Warangal)
Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation PlanningCarlos Cotta (Universidad de Málaga)
Entropy Enhanced Multi-objective Bayesian Optimization for Graph PruningWeiwei Zhang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China), Meiling Xu (Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Northeastern University, Shenyang, China), Lixin Tang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, China)
Modeling and Optimization of Energy Consumption in Data-driven Factory Air Conditioning SystemNing Sun (Jiangnan University), Shuwei Zhu (Jiangnan University)
Energy Consumption Analysis of Batch Runs of Evolutionary AlgorithmsCarlos Cotta (Universidad de Málaga), Jesús Martínez-Cruz (Universidad de Málaga)
Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment ProblemsMayowa Ayodele (D-Wave Quantum Inc)
Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based EncodingSeo-Ah Yu (Kwangwoon Univ.), Yong-Hyuk Kim (Kwangwoon Univ.)
Exploring the Improvement of Evolutionary Computation via Large Language ModelsJinyu Cai (Waseda University), Jinglue Xu (University of Tokyo), Jialong Li (Waseda University), Takuto Yamauchi (Waseda University), Hitoshi Iba (The University of Tokyo), Kenji Tei (Tokyo Institute of Technology)
Exploring the use of fitness landscape analysis for understanding malware evolutionKehinde Babaagba (Edinburgh Napier University), Ritwik Murali (Amrita University), Sarah L. Thomson (Edinburgh Napier University)
Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the ElectricityBogdan Ruszczak (Opole University of Technology)
A Memetic Algorithm for Deployment of Search and Rescue UnitsSeung-Yeol Hong (Kwangwoon Univ.), Yong-Hyuk Kim (Kwangwoon Univ.)
Towards Target Derivatives-Enhanced Continued Fraction RegressionGuillaume Briffoteaux (The University of Newcastle), Andrew Ciezak (The University of Newcastle), Pablo Moscato (The University of Newcastle)
Generalization of the Heavy-Tailed Mutation in the $(1+(lambda,lambda))$ Genetic AlgorithmAnton V. Eremeev (Novosibirsk State University, Omsk Branch of Sobolev Institute of Mathematics), Valentin A. Topchii (Novosibirsk State University)
The Easiest Hard Problem: Now Even EasierRuben Horn (Helmut Schmidt University), Sarah L. Thomson (Edinburgh Napier University), Daan van den Berg (Vrije Universiteit Amsterdam), Pieter Adriaans (University of Amsterdam)
Evolving Potential Fields for Rules of the Road Compliant Ship DrivingKorben DiArchangel (University of Nevada), Liam Francisco (University of Nevada), Jude Koenig (University of Nevada), Sushil J. Louis (University of Nevada)
A decision space variable topology feature visualization and clustering method for Dynamic Multi-objective OptimizationMin Chen (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University), Yanyan Zhang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University)
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight OptimizationPawel 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)
Island-model Genetic Algorithms at Wafer ScaleMatthew Andres Moreno (University of Michigan), Connor Yang (University of Michigan), Emily Dolson (Michigan State University), Luis Zaman (University of Michigan)
Bi-objective approach for lot-sizing problem in cold rolling production planningWeiyan Jia (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education), Lixin Tang (National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University), Yang Yang (Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry), Yun Dong (Liaoning Key Laboratory of Manufacturing System and Logistics Optimization)
Bayesian Optimization with Setup Switching CostStefan Pricopie (University of Manchester), Richard Allmendinger (University of Manchester), Manuel Lopez-Ibanez (University of Manchester), Clyde Fare (IBM), Matt Benatan (Sonos), Joshua Knowles (University of Manchester)
Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU MulticoreZhuoran Sun (University of Manitoba), Ying Ying Liu (University of Manitoba), Parimala Thulasiraman (University of Manitoba), Ruppa K. Thulasiram (University of Manitoba)
Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature DetectionJeremiah Oluwagbemi Abimbola (Silesian University of Technology), Daniel Kostrzewa (Silesian University of Technology), Pawel Kasprowski (Silesian University of Technology)