Evolutionary Algorithms in Engineering Applications

✍ Scribed by Dipankar Dasgupta, Zbigniew Michalewicz (auth.), Dipankar Dasgupta, Zbigniew Michalewicz (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 1997
• Tongue: English
• Leaves: 561
• Edition: 1
• Category: Library

✦ Synopsis

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.

✦ Table of Contents

Front Matter....Pages I-XXI
Front Matter....Pages 1-1
Evolutionary Algorithms — An Overview....Pages 3-28
Robust Encodings in Genetic Algorithms....Pages 29-44
Front Matter....Pages 45-45
Genetic Engineering and Design Problems....Pages 47-68
The Generation of Form Using an Evolutionary Approach....Pages 69-85
Evolutionary Optimization of Composite Structures....Pages 87-102
Flaw Detection and Configuration with Genetic Algorithms....Pages 103-116
A Genetic Algorithm Approach for River Management....Pages 117-133
Hazards in Genetic Design Methodologies....Pages 135-152
Front Matter....Pages 153-153
The Identification and Characterization of Workload Classes....Pages 155-172
Lossless and Lossy Data Compression....Pages 173-188
Database Design with Genetic Algorithms....Pages 189-206
Designing Multiprocessor Scheduling Algorithms Using a Distributed Genetic Algorithm System....Pages 207-222
Prototype Based Supervised Concept Learning Using Genetic Algorithms....Pages 223-239
Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithms....Pages 241-257
Gate-Level Evolvable Hardware: Empirical Study and Application....Pages 259-276
Physical Design of VLSI Circuits and the Application of Genetic Algorithms....Pages 277-292
Statistical Generalization of Performance-Related Heuristics for Knowledge-Lean Applications....Pages 293-313
Front Matter....Pages 315-315
Optimal Scheduling of Thermal Power Generation Using Evolutionary Algorithms....Pages 317-328
Genetic Algorithms and Genetic Programming for Control....Pages 329-343
Global Structure Evolution and Local Parameter Learning for Control System Model Reductions....Pages 345-360
Front Matter....Pages 315-315
Adaptive Recursive Filtering Using Evolutionary Algorithms....Pages 361-376
Numerical Techniques for Efficient Sonar Bearing and Range Searching in the Near Field Using Genetic Algorithms....Pages 377-407
Signal Design for Radar Imaging in Radar Astronomy: Genetic Optimization....Pages 409-423
Evolutionary Algorithms in Target Acquisition and Sensor Fusion....Pages 425-449
Front Matter....Pages 451-451
Strategies for the Integration of Evolutionary/Adaptive Search with the Engineering Design Process....Pages 453-477
Identification of Mechanical Inclusions....Pages 479-496
GeneAS: A Robust Optimal Design Technique for Mechanical Component Design....Pages 497-514
Genetic Algorithms for Optimal Cutting....Pages 515-530
Practical Issues and Recent Advances in Job- and Open-Shop Scheduling....Pages 531-546
The Key Steps to Achieve Mass Customization....Pages 547-554
Back Matter....Pages 555-555

✦ Subjects

Programming Techniques;Computing Methodologies;Computer-Aided Engineering (CAD, CAE) and Design;Complexity