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Optimization and Learning : 7th International Conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, Revised Selected Papers
Optimization and Learning : 7th International Conference, OLA 2024, Dubrovnik, Croatia, May 13-15, 2024, Revised Selected Papers
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ISBN No.: 9783031779404
Pages: xx, 325
Year: 202412
Format: Trade Paper
Price: $ 117.29
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

- Synergies Between Optimization and Machine Learning.- How is the objective function of the Feature Selection problem formulated?.- HOTS : A containers resource allocation hybrid method using machine.- Optimisation-based classiFication tree: A game theoretic approach to group fairness.- JaxDecompiler: RedeFining Gradient-Informed Software Design.- Adapted Q-learning for the Blocking Job Shop Scheduling Problem.- NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming.- Neural Architecture Tuning: A BO-Powered NAS Tool.


- Enhancing Optimization and Learning Techniques.- A Multi-objective Clustering Algorithm Integrating Intra-clustering and Inter-clustering Measures.- A Bayesian Optimization Approach to Algorithm Parameter Tuning in Constrained Multiobjective Optimization.- Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.- A Benchmark for Missing Data Imputation Techniques: development perspectives and performance comparative.- Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning.- Feature Selection Based on Membrane Clustering.- Transportation and Routing.


- Learning Insertion Patterns to Enhance Operational Eciency in Large-Scale Dial-a-Ride Systems .- A Constraint Programming Approach for the Preference Tourist Trip Design Problem.- Solving a shareable-setup time prize collection VRP applied to an electrical maintenance sector.- Applications.- Biologically-Inspired Algorithms for Adaptive Non-Player Character Behavior in Video-Games.- Optimization of Hydro Generation and Load Forecasting Based On LSTN.- Patient Visits Forecasting in the Post-Pandemic Era at Emergency Departments.- Nature-Inspired Techniques for Combinatorial Reverse Auctions in Electricity Consumption.


- Robust Models for Learning Languages.- Advancing Road Safety Metrics: Exploring Index construction.- S3EA: A Self-Supervised Stacked Ensemble Framework for Robust Anomaly Detection to Reduce False Alarms.- A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines.


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