Learning and Intelligent Optimization

Table of Contents

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   Book Overview
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   Chapter 1 Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languages
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   Chapter 2 From Design of Experiments to Combinatorics of Disasters: A Conceptual Framework for Disaster Exercises
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   Chapter 3 Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function
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   Chapter 4 A Composite Index Method for Optimization Benchmarking
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   Chapter 5 Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach
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   Chapter 6 A Stochastic Alternating Balance k -Means Algorithm for Fair Clustering
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   Chapter 7 Binary Black Widow Optimization Algorithm for Feature Selection Problems
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   Chapter 8 Learning to Solve a Stochastic Orienteering Problem with Time Windows
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    Chapter 9 ML-Based Approach for Accelerating Global Search Algorithm for Solving Multicriteria Problems
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    Chapter 10 The Skewed Kruskal Algorithm
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    Chapter 11 Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model
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    Chapter 12 Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production
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    Chapter 13 Realtime Gray-Box Algorithm Configuration
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    Chapter 14 Dynamic Urban Solid Waste Management System for Smart Cities
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    Chapter 15 Single MCMC Chain Parallelisation on Decision Trees
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    Chapter 16 An Extension of NSGA-II for Scaling up Multi-objective Spatial Zoning Optimization
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    Chapter 17 Competitive Supply Allocation in a Distribution Network Under Overproduction
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    Chapter 18 Safe-Exploration of Control Policies from Safe-Experience via Gaussian Processes
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    Chapter 19 Bayesian Optimization in Wasserstein Spaces
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    Chapter 20 Network Vulnerability Analysis in Wasserstein Spaces
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    Chapter 21 BERT Self-Learning Approach with Limited Labels for Document Classification
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    Chapter 22 Autonomous Learning Rate Optimization for Deep Learning
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    Chapter 23 Optimizing Data Augmentation Policy Through Random Unidimensional Search
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    Chapter 24 Evaluating Student Behaviour on the MathE Platform - Clustering Algorithms Approaches
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    Chapter 25 Unsupervised Training for Neural TSP Solver
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    Chapter 26 Comparing Surrogate Models for Tuning Optimization Algorithms
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    Chapter 27 Search and Score-Based Waterfall Auction Optimization
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    Chapter 28 Survey on KNN Methods in Data Science
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    Chapter 29 Constrained Shortest Path and Hierarchical Structures
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    Chapter 30 Investigation of Graph Neural Networks for Instance Segmentation of Industrial Point Cloud Data
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    Chapter 31 Fitness Landscape Ruggedness Impact on PSO in Dealing with Three Variants of the Travelling Salesman Problem
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    Chapter 32 A Multi-UAVs’ Provider Model for the Provision of 5G Service Chains: A Game Theoretic Approach
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    Chapter 33 Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques
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    Chapter 34 Airport Digital Twins for Resilient Disaster Management Response
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    Chapter 35 Strategies for Surviving Aggressive Multiparty Repeated Standoffs (Extended Abstract)
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    Chapter 36 A Hybridization of GRASP and UTASTAR for Solving the Vehicle Routing Problem with Pickups and Deliveries and 3D Loading Constraints
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    Chapter 37 Packing Hypertrees and the  k -cut Problem in Hypergraphs
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    Chapter 38 Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO
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    Chapter 39 Value of Information in the Mean-Square Case and Its Application to the Analysis of Financial Time-Series Forecast