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Evolutionary Algorithms in Engineering and Computer Science : Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
Published by Wiley & Sons, Incorporated, John, 1999
ISBN 10: 0471999024 ISBN 13: 9780471999027
Language: English
£ 12.85
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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Evolutionary Algorithms for Food Science and Technology (Computer Engineering: Metaheuristics Set, 7)
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Evolutionary Algorithms (Computer Engineering: Metaheuristics, 9)
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Evolutionary Algorithms for Food Science and Technology (Computer Engineering: Metaheuristics Set)
Published by ISTE Ltd. 2016-12-13, 2016
ISBN 10: 1848218133 ISBN 13: 9781848218130
Language: English
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Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering)
Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering)
Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Evolutionary Algorithms and Agricultural Systems (The Springer International Series in Engineering and Computer Science)
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Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering)
Published by IGI Global 2018-09-30, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Evolutionary Algorithms in Engineering and Computer Science : Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
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Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
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Optimal Power Flow Using Evolutionary Algorithms (Advances in Computer and Electrical Engineering)
Published by Engineering Science Reference, 2018
ISBN 10: 1522569715 ISBN 13: 9781522569718
Language: English
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Evolutionary Algorithms in Engineering and Computer Science : Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
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Evolutionary Algorithms in Engineering and Computer Science (Hardcover)
Published by John Wiley & Sons Inc, New York, 1999
ISBN 10: 0471999024 ISBN 13: 9780471999027
Language: English
Hardcover. Condition: new. Hardcover. Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaeskylae, Finland M. M. Maekelae, University of Jyvaeskylae, Finland P. Neittaanmaeki, University of Jyvaeskylae, Finland J. Periaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems. Genetic algorithms (GA) and evolution strategies (ES) are relatively new stochastic based techniques for solving engineering problems on computers. GA and ES are based on a loose biological analogy: evolutionary theory (mutation, crossover, selection, survival of the fittest). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 230.77
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Evolutionary Algorithms in Engineering and Computer Science (Hardcover)
Published by John Wiley & Sons Inc, New York, 1999
ISBN 10: 0471999024 ISBN 13: 9780471999027
Language: English
£ 234.21
Convert currency£ 37.22 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyvaeskylae, Finland M. M. Maekelae, University of Jyvaeskylae, Finland P. Neittaanmaeki, University of Jyvaeskylae, Finland J. Periaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems. Genetic algorithms (GA) and evolution strategies (ES) are relatively new stochastic based techniques for solving engineering problems on computers. GA and ES are based on a loose biological analogy: evolutionary theory (mutation, crossover, selection, survival of the fittest). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
