Real-World Applications of Evolutionary Computing

Table of Contents

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   Book Overview
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   Chapter 1 Special Purpose Image Convolution with Evolvable Hardware
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   Chapter 2 Stereoscopic Vision for a Humanoid Robot Using Genetic Programming
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   Chapter 3 A Faster Genetic Clustering Algorithm
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   Chapter 4 Scene Interpretation using Semantic Nets and Evolutionary Computation
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   Chapter 5 Evolutionary Wavelet Bases in Signal Spaces
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   Chapter 6 Finding Golf Courses: The Ultra High Tech Approach
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   Chapter 7 Sound Localization for a Humanoid Robot by Means of Genetic Programming
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   Chapter 8 On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection
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    Chapter 9 Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
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    Chapter 10 Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex Method, and Their Hybrid
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    Chapter 11 A Genetic Algorithm with Local Search for Solving Job Problems
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    Chapter 12 Distributed Learning Control of Traffic Signals
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    Chapter 13 Time Series Prediction by Growing Lateral Delay Neural Networks
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    Chapter 14 Trajectory Controller Network and Its Design Automation through Evolutionary Computing
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    Chapter 15 Evolutionary Computation and Nonlinear Programming in Multi-model-robust Control Design
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    Chapter 16 Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms
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    Chapter 17 Automatic Synthesis of Both the Topology and Parameters for a Controller for a Three-Lag Plant with a Five-Second Delay Using Genetic Programming
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    Chapter 18 Automatic Design of Multivariable QFT Control System via Evolutionary Computation
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    Chapter 19 Development of Power Transformer Thermal Models for Oil Temperature Prediction
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    Chapter 20 Automatic Validation of Protocol Interfaces Described in VHDL
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    Chapter 21 Evolutive Modeling of TCP/IP Network Traffic for Intrusion Detection
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    Chapter 22 Multimodal Performance Profiles on the Adaptive Distributed Database Management Problem
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    Chapter 23 Protocol Construction Using Genetic Search Techniques
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    Chapter 24 Prediction of Power Requirements for High-Speed Circuits
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    Chapter 25 A Communication Architecture for Multi-Agent Learning Systems
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    Chapter 26 An Ambulance Crew Rostering System
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    Chapter 27 A Systematic Investigation of GA Performance on Jobshop Scheduling Problems
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    Chapter 28 An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
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    Chapter 29 A New Genetic Representation and Common Cluster Crossover for Job Shop Scheduling Problems
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    Chapter 30 Optimising an Evolutionary Algorithm for Scheduling
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    Chapter 31 On-line Evolution of Control for a Four-Legged Robot Using Genetic Programming
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    Chapter 32 Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM
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    Chapter 33 Self-Adaptive Mutation in ZCS Controllers
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    Chapter 34 Using a Hybrid Evolutionary-A* Approach for Learning Reactive Behaviours
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    Chapter 35 Supervised Evolutionary Methods in Aerodynamic Design Optimisation
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    Chapter 36 An Evolutionary Algorithm for Large Scale Set Covering Problems with Application to Airline Crew Scheduling
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    Chapter 37 Design, Implementation, and Application of a Tool for Optimal Aircraft Positioning