Recent Advances in Computational Optimization : Selected Papers from the WCO 2022 - Workshop on Computational Optimization

• Autore: Fidanova Stefka
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (323 pages)
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 1 Introduction -- 2 Materials and Methods -- 2.1 Methodology of Conducting the Sports-Pedagogical Tests -- 2.2 InterCriteria Analysis Background -- 3 Results -- 3.1 Results of the Conducted Tests -- 3.2 Results of the ICrA -- 3.3 Results of the Applied Statistical Methods -- 4 Conclusions -- References -- Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 1 Introduction -- 2 Data and Methods -- 3 Calculations and Results -- 4 Conclusion -- References -- Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 1 Introduction -- 2 Process Description -- 3 Static Characteristics of Two-Stage AD Process -- 3.1 Mathematical Model of Two-Stage AD Process Without Hydrolysis Phase -- 3.2 Mathematical Model of Two-Stage AD Process with Hydrolysis Phase -- 3.3 Mathematical Model of Two-Stage AD Process with Substrate Inhibition -- 3.4 Mathematical Model of Two-Stage AD Process Including Propionate Dynamics -- 3.5 Mathematical Model of Two-Stage AD Process Including Butyrate Dynamics -- 4 Conclusion -- References -- Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 1 Introduction -- 2 Background -- 2.1 Integrating Job and Training Advertisements -- 3 Preliminaries -- 4 Method -- 5 Experimental Results -- 6 Discussion and Outlook -- References -- Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 1 Introduction -- 2 Related Works -- 3 The Social Engagement Optimization Problem -- 4 Mathematical Model -- 4.1 An Analytical Solution for the Single-Candidate SEOP. ; 5 Approximation-Based Solution Approach -- 6 Experimental Results and Analyses -- 6.1 Data Generation -- 6.2 Results and Discussion -- 7 Conclusions and Future Works -- References -- Application of Methaeuristics for Agricultural System Modelling -- 1 Introduction -- 2 Problem Formulation -- 2.1 Problem Definition -- 2.2 Impute Data for the Model -- 3 Ant Colony Optimization Algorithm -- 3.1 Traditional ACO Algorithm -- 3.2 Ant Algorithm for Agricultural Modeling -- 4 Model Testing and Discussion -- 4.1 Small Test Instances Testing for Cereals -- 4.2 Large Test Instances Testing for Cereals -- 4.3 Tests for Vegetable Crops -- 5 Conclusion -- References -- Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 1 Introduction -- 2 Preliminaries -- 3 Tree Inclusion and Caterpillar Inclusion -- 4 Algorithms for Subcaterpillar Isomorphism -- 4.1 Subcaterpillar Isomorphism -- 4.2 Subcaterpillar Isomorphism Between Caterpillars -- 5 Experimental Results -- 5.1 Subcaterpillar Isomorphism for Artificial Data -- 5.2 Subcaterpillar Isomorphism for Real Data -- 5.3 Subcaterpillar Isomorphism Between Caterpillars for Artificial Data -- 5.4 Subcaterpillar Isomorphism Between Caterpillars for Real Data -- 6 Conclusion and Future Works -- References -- Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 1 Introduction -- 2 Description and Numerical Treatment of the Danish Eulerian Model -- 2.1 Mathematical Representation of UNI-DEM -- 2.2 Splitting into Submodels -- 2.3 Discretization and Numerical Methods Applied in the Submodels -- 3 Parallel Implementation of the Model -- 4 Numerical Experiments with UNI-DEM on the IBM MareNostrum III Supercomputer at BSC - Barcelona, Spain. ; 5 Numerical Experiments with UNI-DEM on the EuroHPC Supercomputer DISCOVERER in Bulgaria -- 6 Discussion -- References -- Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 1 Introduction -- 2 Problem Definition -- 3 Input Data for the Model -- 4 Study Design -- 4.1 Calculation Method for Inhalation Dose and Ventilation Rate -- 4.2 Software Concept -- 4.3 The K-Shortest Paths with Limited Overlap Path Finding Algorithm -- 4.4 PM Measurements Form Fixed Sensors -- 4.5 Using Portable Wearables to Measure PM Exposure -- 4.6 PM Measurements and Calibration of Decision-Making Mechanism -- 4.7 Study Routes -- 4.8 Field Tests and Participants -- 5 Results and Discussion -- 5.1 PM1 and PM2.5 Concentrations from Mobile Measurements -- 5.2 Ventilation Rate -- 5.3 Bike Route Visualisation by Incorporating Stationary Sensor Data -- 5.4 Model Refinement and Evaluation of Mobile and Stationary Sensor Data -- 6 Conclusion and Future Research -- References -- Surrogate Estimators for Complex Bi-level Energy Management -- 1 Introduction -- 2 The CVREP: Collaborative Vehicle Routing Energy Production Problem -- 2.1 The CVREP Problem -- 2.2 A Compact Bi-level Formulation -- 2.3 Strong No-Sub-Tour Constraints -- 3 The Collaborative Issue -- 4 A Parametric Surrogate Estimator Approach -- 4.1 Solving PReload (, ) -- 4.2 Deriving Surrogate Estimator Resolution Scheme -- 5 A Neural Network Oriented Approach -- 6 A Reinforcement Learning Oriented Approach -- 7 QCVREP() as a Path Search Problem -- 7.1 The CVREP() Path Search Formulation -- 7.2 An A* Based Shortest Path Algorithm -- 8 Numerical Experiments -- 9 Conclusion -- References -- An Application of the Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection in a Fast-Food Restaurant Chain -- 1 Introduction -- 2 Basic Definitions. ; 2.1 Temporal Intuitionistic Fuzzy Pair (TIFP) -- 2.2 Three-Dimensional Temporal Intuitionistic Fuzzy Index Matrices (3-D TIFIM) -- 3 Theoretical Framework for Selecting the Optimal Franchise Candidate (OTIFAFr) and the Software for Solution for Fast-Food Restaurant Chains -- 3.1 Theoretical Framework for Selecting the Optimal Franchise Candidate (OTIFAFr) -- 3.2 Optimal Temporal Intuitionistic Fuzzy Algorithm for Franchisee Selection (OTIFAFr). Software Implementation -- 4 A Practical Framework for Fast-Food Restaurant Chains for the Franchisee Selection Process -- 5 Conclusion -- References -- An Application of the Intuitionistic Fuzzy Approach to the Hungarian Algorithm for the Travelling Salesman Problem -- 1 Introduction -- 2 TIFP and Index Matrices -- 2.1 Temporal Intuitionistic Fuzzy Pair (TIFP) -- 2.2 Temporal Intuitionistic Fuzzy Index Matrix (TIFIM) -- 3 An Optimal Temporal Intuitionistic Fuzzy Hungarian Algorithm for Travelling Salesman Problem -- 3.1 An Optimal Temporal Intuitionistic Fuzzy HA for the TSP -- 3.2 A Software Implementation of TIFHA-TSP -- 3.3 An Example Application of TIFHA-TSP -- 4 Conclusion -- References -- On a Full Stochastic Optimization Approach for European Option Pricing -- 1 Introduction -- 2 Problem Settings -- 3 Stochastic Methods -- 4 Numerical Examples and Results -- 4.1 Latin Hypercube Sampling -- 4.2 Halton Sequence -- 4.3 Sobol Sequence -- 5 Conclusion -- References -- Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe -- 1 Introduction -- 1.1 Definition of the Global Sensitivity Analysis-Sobol Approach -- 1.2 Small in Value Sensitivity Indices -- 2 Improving the Numerical Algorithms for the Digital Twin -- 2.1 Optimization by Scrambling and Shifting -- 3 Investigation of the High Ozone Concentrations Using UNI-DEM -- 4 Sensitivity Study of UNI-DEM. ; 4.1 Sensitivity Studies with Respect to Emission Levels -- 4.2 Sensitivity Studies with Respect to Chemical Reactions Rates -- 5 Conclusion -- References -- Advanced Stochastic Sequences for Multidimensional Integrals Used in Neural Networks -- 1 Introduction -- 2 The Stochastic Approaches -- 2.1 The Hammersley Sequence -- 2.2 The Lattice Sequence -- 3 Numerical Results -- 4 Conclusion -- References -- Application of an Inverse Dirichlet's Principle to Discrete Recreational Problems: Bound Estimation's Optimization Using Combinatorial Probability and Comparison of Numerical Bound Estimation Using Various Algorithms, Including Recursive Inclusion-Exclusion Principle -- 1 Introduction -- 2 An Original Dirichlet's Principle Definition and Selected Recreational Mathematics Applications -- 3 An Inverse Dirichlet's Principle Definition and Stochastic Combinatorial Approach to Selected Applications of the Principle -- 3.1 An Inverse Dirichlet's Principle Definition -- 3.2 An Unoccupied Doubleseat Problem -- 3.3 An Unoccupied l-Seat Problem -- 4 Conclusions -- References -- Author Index.
• Titolo autorizzato: Recent Advances in Computational Optimization
• ISBN: 3-031-57320-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910847088603321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence Series