Optimization and Learning
Description
This book constitutes the refereed proceedings of the 7th International Conference on Optimization and Learning, OLA 2024, held in Dubrovnik, Croatia, during May 13-15, 2024.
The 24 full papers presented here were carefully reviewed and selected from 64 submissions. They were organized in the following topical sections: synergies between optimization and machine learning; enhancing optimization and learning techniques; transportation and routing; and applications.
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Content
.- Synergies Between Optimization and Machine Learning.
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How is the objective function of the Feature Selection problem formulated?.
.- HOTS : A containers resource allocation hybrid method using machine.
.- Optimisation-based classi?cation tree: A game theoretic approach to group fairness.
.- JaxDecompiler: Rede?ning 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 E?ciency 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.
