Computer Science
Paper Review Records
All Paper Review Records
5 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Analysis and Simplification of the Winner of the CEC 2022 Optimization Competition on Single Objective Bound Constrained Search
AuthorsRafał Biedrzycki
Affiliations1. Warsaw University of Technology, Institute of Computer Science, Warsaw, 00-665, Poland [email protected]
Exploring Automated Algorithm Design Synergizing Large Language Models and Evolutionary Algorithms: Survey and Insights
AuthorsHe Yu; Jing Liu
Affiliations1. School of Artificial Intelligence, Xidian University, 2 South Taibai Road, Xi’an, Shaanxi 710071, China [email protected]; 2. Guangzhou Institute of Technology, Xidian University, Knowledge City, Guangzhou, Guangdong 510555, China; 3. School of Artificial Intelligence, Xidian University, 2 South Taibai Road, Xi’an, Shaanxi 710071, China [email protected]
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization
AuthorsMaria Laura Santoni; Elena Raponi; Aneta Neumann; Frank Neumann; Mike Preuss; Carola Doerr
Affiliations1. Sorbonne Université, CNRS, LIP6, Paris, France [email protected]; 2. Leiden Institute of Advanced Computer Science, Universiteit Leiden, 2333 CC Leiden, The Netherlands [email protected]; 3. Optimisation and Logistics, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide SA, 5005, Australia [email protected]; 4. Optimisation and Logistics, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide SA, 5005, Australia [email protected]; 5. Leiden Institute of Advanced Computer Science, Universiteit Leiden, 2333 CC Leiden, The Netherlands [email protected]; 6. Sorbonne Université, CNRS, LIP6, Paris, France [email protected]
The Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits
AuthorsCarlo Kneissl; Dirk Sudholt
Affiliations1. Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany [email protected]; 2. Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany [email protected]
MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration
AuthorsJeroen G. Rook; Carolin Benjamins; Jakob Bossek; Heike Trautmann; Holger H. Hoos; Marius Lindauer
Affiliations1. Data Management & Biometrics, University of Twente, The Netherlands [email protected]; 2. Institute of Artificial Intelligence, Leibniz University Hannover, Germany [email protected]; 3. Machine Learning and Optimisation, Paderborn University, Germany [email protected]; 4. Machine Learning and Optimisation, Paderborn University, Germany [email protected]; 5. Data Management & Biometrics, University of Twente, The Netherlands; 6. Artificial Intelligence Methodology, RTWH Aachen University, Germany [email protected]; 7. ADA Research Group, Leiden University, The Netherlands; 8. University of British Columbia, Canada; 9. Institute of Artificial Intelligence, L3S Research Center Leibniz University Hannover, Germany [email protected]
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