Learning and Intelligent Optimization - 19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I

The two-volume set LNCS 15744 + 15745 constitutes the proceedings of the 19th International Conference on Learning and Intelligent Optimization, LION 2025, which was held in Prague, Czech Republic, during June 15 19, 2025.
The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research.

List of contents

.- Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control.
.- Do LLMs Understand Constraint Programming? Zero-Shot Constraint Programming Model Generation Using LLMs.
.- Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding.
.- Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue.
.- Demand Selection for VRP with Emission Quota.
.- Multi-target tree regression approach for surrogate-based optimisation.
.- Information Preserving Line Search via Bayesian Optimization.
.- Bayesian Optimisation Against Climate Change: Applications and Benchmarks.

Product details

• Assisted by: Milan Hladik (Editor), Hossein Moosaei (Editor), Yingqian Zhang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 02.12.2025
• EAN: 9783032091550
• ISBN: 978-3-0-3209155-0
• No. of pages: 328
• Illustrations: XII, 328 p. 81 illus., 41 illus. in color.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Operations Research, Künstliche Intelligenz, machine learning, Algorithms, Optimization, Artificial Intelligence, Deep Learning, Wahrscheinlichkeitsrechnung und Statistik, Informationstechnik (IT), allgemeine Themen, Theoretische Informatik, Mathematik für Informatiker, Reinforcement Learning, Theory of Computation, Numerical analysis, Probability and Statistics in Computer Science, Computing Milieux, Computer Application in Social and Behavioral Sciences, Intelligent Systems, mathematical programming, metaheuristics, search methodologies