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Artificial Intelligence based effective algorithm for Software Testing: A Genetic Algorithm perspective - Tapa blanda
Sinopsis
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
Publicado por
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 385945624
Cantidad disponible: Más de 20 disponibles
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Artificial Intelligence based effective algorithm for Software Testing
Publicado por
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202518451
Cantidad disponible: 2 disponibles
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Artificial Intelligence based effective algorithm for Software Testing : A Genetic Algorithm perspective
Publicado por
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202518451
Cantidad disponible: 1 disponibles
Imagen del vendedor
Artificial Intelligence based effective algorithm for Software Testing
Publicado por
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202518456
ISBN 13: 9786202518451
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202518451
Cantidad disponible: 1 disponibles