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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) - Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea
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Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea:
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) - Taschenbuch

ISBN: 3642067042

[SR: 7698397], Paperback, [EAN: 9783642067044], Springer, English, English, English, Springer, Book, Springer, Springer, Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field. This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective., 3887, Artificial Intelligence, 3889, Artificial Life, 280290, Cognitive Simulation, 280293, Computer Mathematics, 107194011, Computer Vision, 107196011, Cybernetics, 280295, Heuristic & Constrained Search, 3894, Machine Learning, 3896, Neural Networks, 3897, Robotics, 280292, Theory of Computing, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3870, Algorithms, 3875, Cryptography, 132570011, Data Structures, 132567011, Digital Image Processing, 3880, Genetic, 3882, Memory Management, 3839, Programming, 5, Computers & Technology, 1000, Subjects, 283155, Books, 13884, Mathematics, 75, Science & Math, 1000, Subjects, 283155, Books, 491300, Artificial Intelligence, 468204, Computer Science, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491314, Programming Languages, 468204, Computer Science, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books, 468218, Mathematics, 491542, Algebra & Trigonometry, 491544, Calculus, 491546, Geometry, 491548, Statistics, 468216, Science & Mathematics, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) - Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea:
Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) - Taschenbuch

ISBN: 3642067042

[SR: 7698397], Paperback, [EAN: 9783642067044], Springer, English, English, English, Springer, Book, Springer, Springer, Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field. This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective., 3887, Artificial Intelligence, 3889, Artificial Life, 280290, Cognitive Simulation, 280293, Computer Mathematics, 107194011, Computer Vision, 107196011, Cybernetics, 280295, Heuristic & Constrained Search, 3894, Machine Learning, 3896, Neural Networks, 3897, Robotics, 280292, Theory of Computing, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3870, Algorithms, 3875, Cryptography, 132570011, Data Structures, 132567011, Digital Image Processing, 3880, Genetic, 3882, Memory Management, 3839, Programming, 5, Computers & Technology, 1000, Subjects, 283155, Books, 13884, Mathematics, 75, Science & Math, 1000, Subjects, 283155, Books, 491300, Artificial Intelligence, 468204, Computer Science, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491314, Programming Languages, 468204, Computer Science, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books, 468218, Mathematics, 491542, Algebra & Trigonometry, 491544, Calculus, 491546, Geometry, 491548, Statistics, 468216, Science & Mathematics, 465600, New & Used Textbooks, 2349030011, Specialty Boutique, 283155, Books

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ISBN: 9783642067044

ID: 978364206704

Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field.This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective. Books, Science and Nature, Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms Books>Science and Nature, Springer Berlin Heidelberg

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Towards a New Evolutionary Computation - Jose A. Lozano; Pedro Larrañaga; Iñaki Inza; Endika Bengoetxea
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Jose A. Lozano; Pedro Larrañaga; Iñaki Inza; Endika Bengoetxea:
Towards a New Evolutionary Computation - Taschenbuch

2010, ISBN: 9783642067044

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms: Advances in the Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing) - Taschenbuch

2010, ISBN: 3642067042

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Towards a New Evolutionary Computation

Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field.This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.

Detailangaben zum Buch - Towards a New Evolutionary Computation


EAN (ISBN-13): 9783642067044
ISBN (ISBN-10): 3642067042
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
312 Seiten
Gewicht: 0,811 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 07.06.2011 00:19:18
Buch zuletzt gefunden am 27.07.2017 07:47:45
ISBN/EAN: 3642067042

ISBN - alternative Schreibweisen:
3-642-06704-2, 978-3-642-06704-4


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