Applications of Evolutionary Computation

Table of Contents

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   Book Overview
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   Chapter 1 Finding Near-Optimal Portfolios with Quality-Diversity
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   Chapter 2 Improving Image Filter Efficiency: A Multi-objective Genetic Algorithm Approach to Optimize Computing Efficiency
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   Chapter 3 Low-Memory Matrix Adaptation Evolution Strategies Exploiting Gradient Information and Lévy Flight
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   Chapter 4 Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution
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   Chapter 5 GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks
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   Chapter 6 Evolving Staff Training Schedules Using an Extensible Fitness Function and a Domain Specific Language
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   Chapter 7 On the Utility of Probing Trajectories for Algorithm-Selection
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   Chapter 8 Nature-Inspired Portfolio Diversification Using Ant Brood Clustering
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    Chapter 9 Cellular Genetic Algorithms for Identifying Variables in Hybrid Gene Regulatory Networks
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    Chapter 10 Evolving Artificial Neural Networks for Simulating Fish Social Interactions
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    Chapter 11 Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem
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    Chapter 12 A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control
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    Chapter 13 Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
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    Chapter 14 Finding Sets of Solutions for Temporal Uncertain Problems
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    Chapter 15 Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
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    Chapter 16 Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation
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    Chapter 17 A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
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    Chapter 18 Iterated Beam Search for Wildland Fire Suppression
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    Chapter 19 A New Angle: On Evolving Rotation Symmetric Boolean Functions
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    Chapter 20 On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems
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    Chapter 21 A Simple Statistical Test Against Origin-Biased Metaheuristics
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    Chapter 22 Optimizing Urban Infrastructure for E-Scooter Mobility
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    Chapter 23 Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks
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    Chapter 24 Evolutionary Computation Meets Stream Processing
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    Chapter 25 Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study
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    Chapter 26 Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach
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    Chapter 27 3D Motion Analysis in MRI Using a Multi-objective Evolutionary k -means Clustering