Buch, Englisch, 381 Seiten, Format (B × H): 155 mm x 235 mm
9th International Conference, OLA 2026, Crete, Greece, April 28–30, 2026, Revised Selected Papers
Buch, Englisch, 381 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-43206-3
Verlag: Springer
This book constitutes the revised selected papers of the 9th International Conference on Optimization and Learning, OLA 2026, held in Crete, Greece, during April 28–30, 2026.
The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized into the following topical sections: Synergies Between Optimization and Machine Learning, Metaheuristics and Hybrid Search Algorithms, Multi-objective Optimization, AI for a Sustainable Future, Applications in Industry and Scheduling.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Mathematik | Informatik EDV | Informatik Technische Informatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
Weitere Infos & Material
.- 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.
