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.
Evolutionary Algorithms in Engineering Applications
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First Sentence:
During the last two decades there has been a growing interest in algorithms which are based on the principle of evolution (survival of the fittest). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Morgan Kaufmann, San Mateo, New York, Parallel Problem Solving, John Wiley, Design Automation Conference, Ann Arbor, Annual Conference, Englewood Cliffs, Kluwer Academic Publishers, Lecture Notes, San Diego, Caballo Reservoir, University of Plymouth, Elephant Butte Reservoir, Evolution Programs, New Jersey, The University of Michigan Press, Van Nostrand Reinhold, World Scientific, Academic Press, Department of Mechanical Engineering, Los Altos, Springer Verlag New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
During the last two decades there has been a growing interest in algorithms which are based on the principle of evolution (survival of the fittest). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Morgan Kaufmann, San Mateo, New York, Parallel Problem Solving, John Wiley, Design Automation Conference, Ann Arbor, Annual Conference, Englewood Cliffs, Kluwer Academic Publishers, Lecture Notes, San Diego, Caballo Reservoir, University of Plymouth, Elephant Butte Reservoir, Evolution Programs, New Jersey, The University of Michigan Press, Van Nostrand Reinhold, World Scientific, Academic Press, Department of Mechanical Engineering, Los Altos, Springer Verlag New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
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This book cites 100
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27
books
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- Genetic Algorithms [VHS] by KOZA on 5 pages
- Genetic Algorithms in Search, Optimization, and Machine Learning by David E. Goldberg on 5 pages
- Advances in Genetic Programming (Complex Adaptive Systems) by Kenneth E. Kinnear Jr. on 4 pages
- Handbook Of Genetic Algorithms by Lawrence David Davis on 4 pages
- The Practical Handbook of Genetic Algorithms: Applications, Second Edition by Lance D. Chambers on page 44, page 222, and page 544
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- Evolutionary Design by Computers by Peter J. Bentley on page 65, page 135, and page 363
- Adaptive Computing in Design and Manufacture VI (v. 6) by I.C. Parmee on page 207, and page 283
- Active Media Technology: 6th International Computer Science Conference, AMT 2001, Hong Kong, China, December 18-20, 2001. Proceedings (Lecture Notes in Computer Science) by Jiming Liu on page 151
- Evolutionary Computations by Keigo Watanabe in Back Matter
- Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications (closed)) by János D. Pintér on page 298
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