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The Practical Handbook of Genetic Algorithms: Applications, Second Edition - Lance D. Chambers
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[SR: 5146607], Hardcover, [EAN: 9781584882404], Chapman and Hall/CRC, Chapman and Hall/CRC, Book, [PU: Chapman and Hall/CRC], Chapman and Hall/CRC, Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the editor again recruited authors at the top of their field and from a cross section of academia and industry, theory and practice. Their contributions detail their own research, new applications, experiment results, and recent advances. Among the applications explored are scheduling problems, optimization, multidimensional scaling, constraint handling, and feature selection and classification. The science and art of GA programming and application has come a long way in the five years since publication of the bestselling first edition. But there still is a long way to go before its bounds are reached-we are still just scratching the surface of GA applications and refinements. By introducing intriguing new applications, offering extensive lists of code, and reporting advances both subtle and dramatic, The Practical Handbook of Genetic Algorithms is designed to help readers contribute to scratching that surface a bit deeper., 269656, Architecture & Microprocessors, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 278150, Electrical, 278151, Electric Motors, 922290, Electrical Engineering, 278152, Electrician Skills, 922288, Electromagnetic Theory, 278153, Energy, 278299, Nanotechnology, 278157, Power Generation & Distribution, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922390, Engineering Physics, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278329, Applied Mathematics, 922530, Mathematical Modelling, 278335, Mathematics for Scientists & Engineers, 278419, Physics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278350, Discrete Mathematics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278373, Numbers, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278429, Electromagnetism, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922942, Maths, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 570874, Applied Mathematics, 570896, Non-linear Science, 570882, Scientific & Engineering Mathematics, 570878, Statistics & Probability, 564352, Mathematics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books, 5346501031, General, 5346499031, Computers & Internet, 52, Young Adult, 1025612, Subjects, 266239, Books

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MODEL BUILDING, MODEL TESTING, AND MODEL FITTING Uses of Genetic Algorithms Quantitative Models Analytical Optimization Iterative Hill-Climbing Techniques Assay Continuity in a Gold Prospect Conclusions COMPACT FUZZY MODELS AND CLASSIFIERS THROUGH MODEL REDUCTION AND EVOLUTIONARY OPTIMIZATION Fuzzy Modeling Transparency and Accuracy of Fuzzy Models Genetic Algorithms Crossover Operators Examples TS Singleton Model TS Linear Model Conclusion ON THE APPLICATION OF REORGANIZATION OPERATORS FOR SOLVING A LANGUAGE RECOGNITION PROBLEM Performance Across a New Problem Set Reorganization Operators The Experimentation Data Obtained from the Experimentation General Evaluation Criteria Evaluation Conclusions and Further Directions USING GA TO OPTIMIZE THE SELECTION AND SCHEDULING OF ROAD PROJECTS Introduction Formulation of the Genetic Algorithm Mapping the GA String into a Project Schedule and Computing the Fitness Results Conclusions: Scheduling Interactive Road Projects by GA DECOUPLED OPTIMIZATION OF POWER ELECTRONICS CIRCUITS USING GENETIC ALGORITHMS Introduction Decoupled Regulator Configuration Fitness Function for FN Steps of Optimization Design Example Conclusions FEATURE SELECTION AND CLASSIFICATION IN THE DIAGNOSIS OF CERVICAL CANCER Introduction Feature Selection Feature Selection by Genetic Algorithm Developing a Neural Genetic Classifier Validation of the Algorithm Parameterization of the GA Experiments with the Cell Image Data Set ALGORITHMS FOR MULTIDIMENSIONAL SCALING Introduction Multidimensional Scaling Examined in more Detail A Genetic Algorithm for Multidimensional Scaling Experimental Results The Computer Program Using the Extend Program GENETIC ALGORITHM-BASED APPROACH FOR TRANSPORTATION OPTIMIZATION PROBLEMS GAs-Based Solution Approach for Transport Models GAs-Based Calibration Approach for Transport Models Concluding Remarks SOLVING JOB-SHOP SCHEDULING PROBLEMS BY MEANS OF GENETIC ALGORITHMS Introduction The Job Shop Scheduling Constraint Satisfaction Problem The Genetic Algorithm Fitness Refinement Heuristic Initial Population Experimental Results Conclusions APPLYING THE IMPLICIT REDUNDANT REPRESENTATION GENETIC ALGORITHM IN AN UNSTRUCTURED PROBLEM DOMAIN Introduction Motivation for Frame Synthesis Research Notes in Mathematics series The Implicit Redundant Representation of Genetic Algorithm The IRR Genotype/Phenotype Representation Applying the IRR GA to Frame Design Synthesis in an Unstructured Domain IRR GA Fitness Evaluation of Frame Design Synthesis Alternatives Discussion of the Genetic Control Operators Used by the IRR GA Results of the Implicit Redundant Representation Frame Synthesis Trials HOW TO HANDLE CONSTRAINTS WITH EVOLUTIONARY ALGORITHMS Introduction Constraints Handling in EAs Evolutionary CSP Solvers Discussion Assessment of Eas for CSPs Conclusion AN OPTIMIZED FUZZY LOGIC CONTROLLER FOR ACTIVE POWER FACTOR CORRECTOR USING GENETIC ALGORITHM Introduction FLC for the Boost Rectifier Optimization of FLC by th Computers Computers eBook, CRC Press

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The Practical Handbook of Genetic Algorithms: Applications, Second Edition - Lance D. Chambers (Editor)
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Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the editor again recruited authors at the top of their field and from a Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this completely revised, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the editor again recruited authors at the top of their field and from a cross section of academia and industry, theory and practice. Their contributions detail their own research, new applications, experiment results, and recent advances. Among the applications explored are scheduling problems, optimization, multidimensional scaling, constraint handling, and feature selection and classification. The science and art of GA programming and application has come a long way in the five years since publication of the bestselling first edition. But there still is a long way to go before its bounds are reached-we are still just scratching the surface of GA applications and refinements. By introducing intriguing new applications, offering extensive lists of code, and reporting advances both subtle and dramatic, The Practical Handbook of Genetic Algorithms is designed to help readers contribute to scratching that surface a bit deeper. Textbooks New, Books~~Mathematics~~Applied, Practical-Handbook-of-Genetic-Algorithms~~Lance-D-Chambers, 999999999, The Practical Handbook of Genetic Algorithms: Applications, Second Edition, Lance D. Chambers (Editor), 1584882409, Taylor & Francis, , , , , Taylor & Francis

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[EAN: 9781584882404], Neubuch, [PU: Chapman and Hall/CRC], Mathematics|Discrete Mathematics, Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this extensively revised, thoroughly updated second edition. This edition allows practitioners to stay up to date on the more recent discoveries in the field, It continues to provide them with material they can use productively in their own endeavors, including computer code available for download from the Internet.

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The Practical Handbook of Genetic Algorithms: Applications, Second Edition
Autor:

Lance D. Chambers Chambers, Lance D.

Titel:

The Practical Handbook of Genetic Algorithms: Applications, Second Edition

ISBN-Nummer:

Rapid developments in the field of genetic algorithms along with the popularity of the first edition precipitated this extensively revised, thoroughly updated second edition. This edition allows practitioners to stay up to date on the more recent discoveries in the field, It continues to provide them with material they can use productively in their own endeavors, including computer code available for download from the Internet.

Detailangaben zum Buch - The Practical Handbook of Genetic Algorithms: Applications, Second Edition


EAN (ISBN-13): 9781584882404
ISBN (ISBN-10): 1584882409
Gebundene Ausgabe
Erscheinungsjahr: 2000
Herausgeber: CHAPMAN & HALL
544 Seiten
Gewicht: 0,925 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 11.11.2007 05:27:42
Buch zuletzt gefunden am 03.07.2017 11:54:36
ISBN/EAN: 9781584882404

ISBN - alternative Schreibweisen:
1-58488-240-9, 978-1-58488-240-4


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