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Herausgeber: 
  • El-Ghazali Talbi
  • Gregoire Danoy
  • Francisco Chicano
  • Bernabé Dorronsoro
  • Optimization and Learning: 6th International Conference, OLA 2023, Malaga, Spain, May 3-5, 2023, Proceedings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Mai 2023  
    Genre:  EDV / Informatik 
    ISBN:  9783031340192 
    EAN-Code: 
    9783031340192 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 24 mm 
    Gewicht:  668 gr 
    Seiten:  444 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    ¿Advanced Optimization.- A comparative study of fractal-based decomposition optimization.- Diagonal Barzilai-Borwein rules in stochastic gradient-like methods.- Algorithm Selection for Large-Scale Multi-objective Optimization.- Solving a Multi-Objective Jop Shop Scheduling Problem With An Automatically Configured Evolutionary Algorithm.- Solving the Nurse Scheduling Problem using the Whale Optimization Algorithm.- A hierarchical Cooperative Coevolutionary approach to solve Very Large-scale Traveling Salesman Problem.- Tornado: An Autonomous Chaotic Algorithm For High Dimensional Global Optimization Problems.- Learning.- Neural Network Information Leakage through Hidden Learning.- Mixing Data Augmentation Methods for Semantic Segmentation.- Real-time elastic partial shape matching using a neural network-based adjoint method.- We won't get fooled again: when performance metric malfunction affects the landscape of hyperparameter optimization problems.- Condition-based maintenance optimization under large action space with deep reinforcement learning method.- Learning methods to enhance optimization tools.- An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem.- Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution.- Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic.- Multi-objective optimization of adhesive bonding process in constrained and noisy settings.- Evaluating Surrogate Models for Robot Swarm Simulations.- Interactive Job Scheduling with Partially Known Personnel Availabilities.- Multi-Armed Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm binarization case.- Optimization applied to learning methods.- BinaryBlack Widow with Hill Climbing Algorithm for Feature Selection.- Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers.- Partial K-means with M outliers: Mathematical programs and complexity results.- An optimization approach for optimizing PRIM's randomly generated rules using the Genetic Algorithm.- Real-world Applications.- A fast methodology to find Decisively Strong Association Rules (DSR).- Characterization and categorization of software programs on x86 architectures.- Robot-Assisted Delivery problems and Their Exact Solutions.- Modeling and analysis of organizational network analysis graphs based on employee data.- Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities.- E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case.- Automatic Generation of Subtitles for Videos of the Government of La Rioja.- Estimation of the distribution of Body Mass Index (BMI) with sparse and low-quality data. The case of the Chilean adult population.- A New Automated Customer Prioritization Method.

      



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