Following an introduction to the various techniques and examples of their routine application, this potential is explored through the introduction of various strategies that support searches across a far broader set of possible design solutions within time and budget constraints. Generic problem areas investigated include: - design decomposition; - whole-system design; - multi-objective and constraint satisfaction; - human-computer interaction; - computational expense. Appropriate strategies that help overcome problems often encountered when integrating computer-based techniques with complex, real-world design environments are described. A straightforward approach coupled with examples supports a rapid understanding of the manner in which such strategies can best be designed to handle the complexities of a particular problem.
Evolutionary and Adaptive Computing in Engineering Design
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Inside This Book
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First Sentence:
The overall purpose of the following text is to raise the awareness of engineering designers and both academic and industrial researchers of the potential of evolutionary and adaptive computing (referred to collectively as EC throughout the following chapters) within the engineering design domain. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
final clustering set, adaptive computing strategies, optimal design direction, complementary computational intelligence techniques, cooling hole geometries, engineering design domain, preliminary design models, routine design tasks, adaptive search techniques, adaptive search strategies, continuous design spaces, computational intelligence technologies, evolutionary search techniques, compromise region, complex analysis techniques, adaptive search algorithms, restricted tournament selection, design problem areas, pheromone quantity, fitness proportionate reproduction, exploratory capabilities, structured genetic algorithm, plate representation, trail intensity, designer interaction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Rolls Royce, British Energy, British Aerospace, Coello Coello, George Bilchev, Nuclear Electric, Technical University of Berlin New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The overall purpose of the following text is to raise the awareness of engineering designers and both academic and industrial researchers of the potential of evolutionary and adaptive computing (referred to collectively as EC throughout the following chapters) within the engineering design domain. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
final clustering set, adaptive computing strategies, optimal design direction, complementary computational intelligence techniques, cooling hole geometries, engineering design domain, preliminary design models, routine design tasks, adaptive search techniques, adaptive search strategies, continuous design spaces, computational intelligence technologies, evolutionary search techniques, compromise region, complex analysis techniques, adaptive search algorithms, restricted tournament selection, design problem areas, pheromone quantity, fitness proportionate reproduction, exploratory capabilities, structured genetic algorithm, plate representation, trail intensity, designer interaction Key Phrases - Capitalized Phrases (CAPs): (learn more)
Rolls Royce, British Energy, British Aerospace, Coello Coello, George Bilchev, Nuclear Electric, Technical University of Berlin New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 21
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6
books
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- Tabu Search by Fred W. Glover on page 53, and Back Matter
- Genetic Algorithms and Engineering Design by Mitsuo Gen in Back Matter
- Evolutionary Design by Computers by Peter J. Bentley in Back Matter
- Intelligent Data Analysis in Science (Oxford Chemistry Masters, 4) by Hugh Cartwright in Back Matter
- Digital Filter Design (Topics in Digital Signal Processing) by T. W. Parks on page 71
See all 21 books this book cites
- Applications Of Multi-Objective Evolutionary Algorithms (Advances in Natural Computation) by Carlos A. Coello on page 26
- Introduction to Evolutionary Computing (Natural Computing Series) by Agoston E. Eiben on page 172
- Adaptive Computing in Design and Manufacture: Proceedings of the Seventh International Conference by I.C. Parmee on page 277
- Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science) by Eckart, Kalyanmoy Delb, Et. Al. Zitzler on page 66
- IUTAM Symposium on Evolutionary Methods in Mechanics (Solid Mechanics and Its Applications) by Tadeusz Burczynski on page 340
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