Evolutionary Algorithms in Engineering Applications

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Springer Science & Business Media, May 20, 1997 - Computers - 554 pages
Evolutionary algorithms - an overview. Robust encodings in genetic algorithms. Genetic engineering and design problems. The generation of form using an evolutionary approach. Evolutionary optimization of composite structures. Flaw detection and configuration with genetic algorithms. A genetic algorithm approach for river management. Hazards in genetic design methodologies. The identification and characterization of workload classes. Lossless and Lossy data compression. Database design with genetic algorithms. Designing multiprocessor scheduling algorithms using a distributed genetic algorithm system. Prototype based supervised concept learning using genetic algorithms. Prototyping intelligent vehicle modules using evolutionary algorithms. Gate-level evolvable hardware: empirical study and application. Physical design of VLSI circuits and the application of genetic algorithms. Statistical generalization of performance-related heuristcs for knowledge-lean applications. Optimal scheduling of thermal power generation using evolutionary algorithms. Genetic algorithms and genetic programming for control. Global structure evolution and local parameter learning for control system model reductions. Adaptive recursive filtering using evolutionary algorithms. Numerical techniques for efficient sonar bearing and range searching in the near field using genetic algorithms. Signal design for radar imaging in radar astronomy: genetic optimization. Evolutionary algorithms in target acquisition and sensor fusion. Strategies for the integration of evolutionary/ adaptive search with the engineering design process. identification of mechanical inclusions. GeneAS: a robust optimal design technique for mechanical component design. Genetic algorithms for optimal cutting. Practical issues and recent advances in Job- and Open-Shop scheduling. The key steps to achieve mass customization.
 

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Contents

Evolutionary Algorithms An Overview
3
Robust Encodings in Genetic Algorithms
29
Genetic Engineering and Design Problems
47
Using an Evolutionary Approach
69
Evolutionary Optimization of Composite Structures
87
Flaw Detection and Configuration with Genetic Algorithms
103
A Genetic Algorithm Approach for River Management
117
Hazards in Genetic Design Methodologies
135
Statistical Generalization of Performance Related Heuristics for KnowledgeLean Applications
293
Optimal Scheduling of Thermal Power Generation Using Evolutionary Algorithms
317
Genetic Algorithms and Genetic Programming for Control
329
Global Structure Evolution and Local Parameter Learning for Control System Model Reductions
345
Adaptive Recursive Filtering Using Evolutionary Algorithms
361
Numerical Techniques for Efficient Sonar Bearing and Range Searching in the Near Field Using Genetic Algorithms
377
Genetic Optimization
409
Evolutionary Algorithms in Target Acquisition and Sensor Fusion
425

The Identification and Characterization of Workload Classes
155
Lossless and Lossy Data Compression
173
Database Design with Genetic Algorithms
189
Designing Multiprocessor Scheduling Algorithms Using a Distributed Genetic Algorithm System
207
Prototype Based Supervised Concept Learning Using Genetic Algorithms
223
Prototyping Intelligent Vehicle Modules Using Evolutionary Algorithms
241
Empirical Study and Application
259
Physical Design of VLSI Circuits and the Application of Genetic Algorithms
277
Strategies for the Integration of EvolutionaryAdaptive Search with the Engineering Design Process
453
Identification of Mechanical Inclusions
479
A Robust Optimal Design Technique for Mechanical Component Design
497
Genetic Algorithms for Optimal Cutting
515
Practical Issues and Recent Advances in Job and OpenShop Scheduling
531
The Key Steps to Achieve Mass Customization
547
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