- 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.