Learning and Intelligent Optimization

.- 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.

.- Empirical Analysis of Upper Bounds of Robustness Distributions using Adversarial Attacks.

.- e$^2$HPO: energy efficient Hyperparameter Optimization via energy-aware multiple information source Bayesian optimization.

.- Reinforcement Learning for Dynamic Pricing with resource constraints in a competitive context.

.- Decision Maker Preferences in Surrogate-based Multi-Objective Optimization: A Survey.

.- Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling under Practical Constraints.

.- Solving influence diagrams: efficient mixed-integer programming formulation and heuristic.

.- Mixed-Integer Linear Optimization via Learning-Based Two-Layer Large Neighborhood Search.

.- Geometrically Invariant and Equivariant Graph Neural Networks for TSP Algorithm Selection and Hardness Prediction.

.- Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds.

.- Vector Bin Packing with Bin Clusters, Variable Bin Sizes and Costs - A Model and Heuristics for Cloud Capacity Planning.

.- SchedulExpert: Graph Attention Meets Mixture-of-Experts for JSSP.

.- Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design.

.- The Post-Enrollment Course Timetabling Problem with Flexible Teacher Assignments.