Optimization and Learning

Table of Contents

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   Book Overview
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   Chapter 1 A Comparative Study of Fractal-Based Decomposition Optimization
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   Chapter 2 Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods
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   Chapter 3 Algorithm Selection for Large-Scale Multi-objective Optimization
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   Chapter 4 Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm
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   Chapter 5 Solving the Nurse Scheduling Problem Using the Whale Optimization Algorithm
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   Chapter 6 A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem
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   Chapter 7 Tornado: An Autonomous Chaotic Algorithm for High Dimensional Global Optimization Problems
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   Chapter 8 Neural Network Information Leakage Through Hidden Learning
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    Chapter 9 Mixing Data Augmentation Methods for Semantic Segmentation
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    Chapter 10 Real-Time Elastic Partial Shape Matching Using a Neural Network-Based Adjoint Method
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    Chapter 11 We Won’t Get Fooled Again: When Performance Metric Malfunction Affects the Landscape of Hyperparameter Optimization Problems
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    Chapter 12 Condition-Based Maintenance Optimization Under Large Action Space with Deep Reinforcement Learning Method
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    Chapter 13 An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem
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    Chapter 14 Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution
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    Chapter 15 GRAPH Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
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    Chapter 16 Multi-objective Optimization of Adhesive Bonding Process in Constrained and Noisy Settings
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    Chapter 17 Evaluating Surrogate Models for Robot Swarm Simulations
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    Chapter 18 Interactive Job Scheduling with Partially Known Personnel Availabilities
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    Chapter 19 Multi-armed Bandit-Based Metaheuristic Operator Selection: The Pendulum Algorithm Binarization Case
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    Chapter 20 Binary Black Widow with Hill Climbing Algorithm for Feature Selection
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    Chapter 21 Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers
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    Chapter 22 Partial K -Means with  M Outliers: Mathematical Programs and Complexity Results
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    Chapter 23 An Optimization Approach for Optimizing PRIM’s Randomly Generated Rules Using the Genetic Algorithm
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    Chapter 24 A Fast Methodology to Find Decisively Strong Association Rules (DSR) by Mining Datasets of Security Records
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    Chapter 25 Characterization and Categorization of Software Programs on X86 Architectures
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    Chapter 26 Robot-Assisted Delivery Problems and Their Exact Solutions
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    Chapter 27 Modeling and Analysis of Organizational Network Analysis Graphs Based on Employee Data
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    Chapter 28 Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities
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    Chapter 29 E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case
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    Chapter 30 Automatic Generation of Subtitles for Videos of the Government of La Rioja
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    Chapter 31 Estimation of the Distribution of Body Mass Index (BMI) with Sparse and Low-Quality Data. The Case of the Chilean Adult Population
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    Chapter 32 A New Automated Customer Prioritization Method