Evolutionary Algorithms in Engineering Applications

Table of Contents

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   Book Overview
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   Chapter 1 Evolutionary Algorithms — An Overview
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   Chapter 2 Robust Encodings in Genetic Algorithms
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   Chapter 3 Genetic Engineering and Design Problems
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   Chapter 4 The Generation of Form Using an Evolutionary Approach
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   Chapter 5 Evolutionary Optimization of Composite Structures
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   Chapter 6 Flaw Detection and Configuration with Genetic Algorithms
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   Chapter 7 A Genetic Algorithm Approach for River Management
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   Chapter 8 Hazards in Genetic Design Methodologies
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    Chapter 9 The Identification and Characterization of Workload Classes
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    Chapter 10 Lossless and Lossy Data Compression
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    Chapter 11 Database Design with Genetic Algorithms
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    Chapter 12 Designing Multiprocessor Scheduling Algorithms Using a Distributed Genetic Algorithm System
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    Chapter 13 Prototype Based Supervised Concept Learning Using Genetic Algorithms
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    Chapter 14 Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithms
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    Chapter 15 Gate-Level Evolvable Hardware: Empirical Study and Application
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    Chapter 16 Physical Design of VLSI Circuits and the Application of Genetic Algorithms
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    Chapter 17 Statistical Generalization of Performance-Related Heuristics for Knowledge-Lean Applications
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    Chapter 18 Optimal Scheduling of Thermal Power Generation Using Evolutionary Algorithms
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    Chapter 19 Genetic Algorithms and Genetic Programming for Control
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    Chapter 20 Global Structure Evolution and Local Parameter Learning for Control System Model Reductions
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    Chapter 21 Adaptive Recursive Filtering Using Evolutionary Algorithms
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    Chapter 22 Numerical Techniques for Efficient Sonar Bearing and Range Searching in the Near Field Using Genetic Algorithms
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    Chapter 23 Signal Design for Radar Imaging in Radar Astronomy: Genetic Optimization
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    Chapter 24 Evolutionary Algorithms in Target Acquisition and Sensor Fusion
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    Chapter 25 Strategies for the Integration of Evolutionary/Adaptive Search with the Engineering Design Process
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    Chapter 26 Identification of Mechanical Inclusions
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    Chapter 27 GeneAS: A Robust Optimal Design Technique for Mechanical Component Design
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    Chapter 28 Genetic Algorithms for Optimal Cutting
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    Chapter 29 Practical Issues and Recent Advances in Job- and Open-Shop Scheduling
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    Chapter 30 The Key Steps to Achieve Mass Customization