Simulated Evolution and Learning

Table of Contents

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   Book Overview
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   Chapter 1 Solving Dynamic Optimisation Problem with Variable Dimensions
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   Chapter 2 A Probabilistic Evolutionary Optimization Approach to Compute Quasiparticle Braids
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   Chapter 3 Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing
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   Chapter 4 Generating Software Test Data by Particle Swarm Optimization
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   Chapter 5 A Steady-State Genetic Algorithm for the Dominating Tree Problem
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   Chapter 6 Evolution of Developmental Timing for Solving Hierarchically Dependent Deceptive Problems
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   Chapter 7 The Introduction of Asymmetry on Traditional 2-Parent Crossover Operators for Crowding and Its Effects
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   Chapter 8 The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution
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    Chapter 9 Customized Selection in Estimation of Distribution Algorithms
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    Chapter 10 A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition
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    Chapter 11 A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization
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    Chapter 12 Clustering Problems for More Useful Benchmarking of Optimization Algorithms
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    Chapter 13 An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions
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    Chapter 14 Fuzzy Clustering with Fitness Predator Optimizer for Multivariate Data Problems
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    Chapter 15 Effects of Mutation and Crossover Operators in the Optimization of Traffic Signal Parameters
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    Chapter 16 A GP Approach to QoS-Aware Web Service Composition and Selection
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    Chapter 17 A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space
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    Chapter 18 PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front
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    Chapter 19 Evolving Hard and Easy Traveling Salesman Problem Instances: A Multi-objective Approach
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    Chapter 20 Simulated Evolution and Learning
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    Chapter 21 Extending AεSεH from Many-objective to Multi-objective Optimization
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    Chapter 22 User Preferences for Approximation-Guided Multi-objective Evolution
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    Chapter 23 Multi-objective Optimisation, Software Effort Estimation and Linear Models
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    Chapter 24 Adaptive Update Range of Solutions in MOEA/D for Multi and Many-Objective Optimization
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    Chapter 25 Classification of Lumbar Ultrasound Images with Machine Learning
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    Chapter 26 Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems
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    Chapter 27 Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class
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    Chapter 28 Walking Motion Learning of Quadrupedal Walking Robot by Profit Sharing That Can Learn Deterministic Policy for POMDPs Environments
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    Chapter 29 Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances
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    Chapter 30 A Stepwise Multi-centroid Classification Learning Algorithm with GPU Implementation
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    Chapter 31 Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
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    Chapter 32 Learning Patterns of States in Time Series by Genetic Programming
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    Chapter 33 Reusing Learned Functionality to Address Complex Boolean Functions
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    Chapter 34 Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach
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    Chapter 35 Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning
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    Chapter 36 On the Impact of Utility Functions in Interactive Evolutionary Multi-objective Optimization
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    Chapter 37 Beyond the Edge of Feasibility: Analysis of Bottlenecks
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    Chapter 38 Adaptive Risk Aversion in Social Dilemmas
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    Chapter 39 Fitness Landscape Analysis of Circles in a Square Packing Problems
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    Chapter 40 Local Landscape Patterns for Fitness Landscape Analysis
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    Chapter 41 Why Advanced Population Initialization Techniques Perform Poorly in High Dimension?
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    Chapter 42 Bloat and Generalisation in Symbolic Regression
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    Chapter 43 Improved PSO for Feature Selection on High-Dimensional Datasets
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    Chapter 44 Multi-objective Feature Selection in Classification: A Differential Evolution Approach
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    Chapter 45 A Multi-objective Optimization Method for Product Feature Fatigue Problem
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    Chapter 46 Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours
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    Chapter 47 Variable Neighbourhood Iterated Improvement Search Algorithm for Attribute Reduction Problems
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    Chapter 48 PSO and Statistical Clustering for Feature Selection: A New Representation
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    Chapter 49 Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization
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    Chapter 50 Genetic Programming for Measuring Peptide Detectability
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    Chapter 51 Overview of Particle Swarm Optimisation for Feature Selection in Classification
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    Chapter 52 A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation
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    Chapter 53 Simulated Evolution and Learning
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    Chapter 54 Load Balance Aware Genetic Algorithm for Task Scheduling in Cloud Computing
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    Chapter 55 Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling
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    Chapter 56 Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem
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    Chapter 57 An Organizational Cooperative Coevolutionary Algorithm for Multimode Resource-Constrained Project Scheduling Problems
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    Chapter 58 Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming
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    Chapter 59 Dual Population Genetic Algorithm for the Cardinality Constrained Portfolio Selection Problem
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    Chapter 60 An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold
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    Chapter 61 Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming
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    Chapter 62 Application of Adaptive Streaming Technology in Remotely Driven Electric Vehicles
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    Chapter 63 Optimising Wi-Fi Installations Using a Multi-Objective Evolutionary Algorithm
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    Chapter 64 Automated Design of Architectural Layouts Using a Multi-Objective Evolutionary Algorithm
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    Chapter 65 An Approach for Real-Time Frame Size Adaptation in M-JPEG Streams
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    Chapter 66 Automatic Melody Generation Considering User’s Evaluation Using Interactive Genetic Algorithm
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    Chapter 67 Object Recognition by Stochastic Metric Learning
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    Chapter 68 Automatic Resolution Selection for Edge Detection Using Genetic Programming
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    Chapter 69 Evolutionary Feature Combination Based Seed Learning for Diffusion-Based Saliency
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    Chapter 70 Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions
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    Chapter 71 Image Segmentation: A Survey of Methods Based on Evolutionary Computation