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Artificial Intelligence based effective algorithm for Software Testing: A Genetic Algorithm perspective - Brossura
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Artificial Intelligence algorithms were great in their use in practical life. After successful application of various computation techniques, a strong need arose for development of Intelligent Systems and thus started a new era of Soft Computing. Genetic Algorithm is one such soft computing technique that mimics the nature and has all the potential of a computation technique. Genetic algorithms are computing algorithms constructed in analogy with the process of evolution. Genetic Algorithms are a class of stochastic search methods that try to find good solutions to difficult optimization problems by mimicking natural evolution. Over the past three decades, genetic algorithms have proved themselves successful in solving multitudinous problems from highly diverse domains including optimization, automatic programming, electronic-circuit design, telecommunications, networks, finance, economics, image analysis, signal processing, music and art. With these applications of genetic algorithms it is possible to use genetic algorithms in Software Engineering to automate testing process.
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Artificial Intelligence based effective algorithm for Software Testing
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Keswani BrightDr. Vikas Yadav having Ph.D in Computer Science and working in the field of Artificial Intelligence research since last several years. Dr. Bright Keswani is working as Professor in Computer Science & Engineering at Sure. Codice articolo 385945624
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Artificial Intelligence based effective algorithm for Software Testing
Editore:
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence algorithms were great in their use in practical life. After successful application of various computation techniques, a strong need arose for development of Intelligent Systems and thus started a new era of Soft Computing. Genetic Algorithm is one such soft computing technique that mimics the nature and has all the potential of a computation technique. Genetic algorithms are computing algorithms constructed in analogy with the process of evolution. Genetic Algorithms are a class of stochastic search methods that try to find good solutions to difficult optimization problems by mimicking natural evolution. Over the past three decades, genetic algorithms have proved themselves successful in solving multitudinous problems from highly diverse domains including optimization, automatic programming, electronic-circuit design, telecommunications, networks, finance, economics, image analysis, signal processing, music and art. With these applications of genetic algorithms it is possible to use genetic algorithms in Software Engineering to automate testing process. 132 pp. Englisch. Codice articolo 9786202518451
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Artificial Intelligence based effective algorithm for Software Testing
Editore:
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence algorithms were great in their use in practical life. After successful application of various computation techniques, a strong need arose for development of Intelligent Systems and thus started a new era of Soft Computing. Genetic Algorithm is one such soft computing technique that mimics the nature and has all the potential of a computation technique. Genetic algorithms are computing algorithms constructed in analogy with the process of evolution. Genetic Algorithms are a class of stochastic search methods that try to find good solutions to difficult optimization problems by mimicking natural evolution. Over the past three decades, genetic algorithms have proved themselves successful in solving multitudinous problems from highly diverse domains including optimization, automatic programming, electronic-circuit design, telecommunications, networks, finance, economics, image analysis, signal processing, music and art. With these applications of genetic algorithms it is possible to use genetic algorithms in Software Engineering to automate testing process.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Codice articolo 9786202518451
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Artificial Intelligence based effective algorithm for Software Testing : A Genetic Algorithm perspective
Editore:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence algorithms were great in their use in practical life. After successful application of various computation techniques, a strong need arose for development of Intelligent Systems and thus started a new era of Soft Computing. Genetic Algorithm is one such soft computing technique that mimics the nature and has all the potential of a computation technique. Genetic algorithms are computing algorithms constructed in analogy with the process of evolution. Genetic Algorithms are a class of stochastic search methods that try to find good solutions to difficult optimization problems by mimicking natural evolution. Over the past three decades, genetic algorithms have proved themselves successful in solving multitudinous problems from highly diverse domains including optimization, automatic programming, electronic-circuit design, telecommunications, networks, finance, economics, image analysis, signal processing, music and art. With these applications of genetic algorithms it is possible to use genetic algorithms in Software Engineering to automate testing process. Codice articolo 9786202518451
Quantità: 1 disponibili