Optimization and Learning 9th International Conference, OLA 2026, Crete, Greece, April 28–30, 2026, Revised Selected Papers

.- Synergies Between Optimization and Machine Learning

.- Machine Learning-assisted Branch-and-Bound for the Quadratic Assignment Problem.

.- Learning to Control Iterated Local Search: A Reinforcement Learning Hyper-Heuristic for the Permutation Flow Shop Problem.

.- Dynamic Programming Algorithms for a Clustering Problem on a Line.

.- TD3-CSO: A Reinforcement Learning based Parameter Adaptation Scheme in Competitive Swarm Optimization.

.- A Simple PTAS for Weighted k-means and Sensor Coverage.

.- Metaheuristics and Hybrid Search Algorithms

.- On the Impact of Linguistic Granularity and Fuzzy Semantic Design in Particle Swarm Optimization.

.- Recent Advances in Grey-Box Bayesian Optimisation.

.- An Ultra-Scale High Dimensional Parallel Bayesian Optimization Approach.

.- A Hybrid GA-SA Framework with Preference-Oriented Fitness for Solving Constrained Conditional Preference Networks.

.- Investigating Multi-Variable Branching for Efficient Knapsack Problem Solving.

.- Multi-objective Optimization

.- Selective Lower-Level Activation by Learning Pareto Relevance in Bi-objective Bilevel Optimization.

.- An Efficient Exact Approach to Find the Pareto Front for a Bi-Objective Scheduling Problem.

.- AI for a Sustainable Future

.- A Multi-Objective Firefly Algorithm for the Energy-Efficient Permutation Flowshop Scheduling Problem.

.- Best Practices in Measuring Energy Consumption in Population-Based Metaheuristics.

.- Optimal Deployment of Ambulances under Uncertain Rate of Demands.

.- Warehouse Rearrangement with Shuttles.

.- A Bin Packing Problem Approach for Agri-products Assignment in Refrigerated Warehouses.

.- Matheuristic-Based Multi-Visit Drone Routing for Early Detection and Prevention of Forest Fires.

.- Comparative Analysis of ARIMA-LSTM Architectures for Performance Prediction in IoT-Automated Flat Plate Solar Collector Systems.

.- Applications in Industry and Scheduling

.- Constraint Programming vs MILP and Metaheuristics for Operating Room Scheduling with Surgeon-Block Consistency.

.- From RUL Prediction to Maintenance Scheduling: A DBF-MILP Framework for Assembly Robots.

.- Solving the Quay Crane Scheduling Problem using Glowworm Swarm Optimization.

.- Complexity versus Accuracy of Rescue System Design Models.

.- Simulation-Based Optimization and Dimensioning of AMR Sorting Systems with Dynamic Drop-Off Prioritization.

.- A Memetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.

.- Dynamic Load Optimization Problem.

.- Portfolio Optimization with Physical Decision Variables and Non-Linear Performance Metrics: Diversification Challenge and Proposals.

.- Optimization and Learning for Currency Forecasting: A NARX Neural Network Approach.

.- Indonesian Auditor Readiness for AI-Based Audits: An Analysis of Technical Competencies, Ethics, and Compliance.

.- The Black-and-White Coloring Problem on Cactus Graphs.