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Artificial Intelligence based effective algorithm for Software Testing: A Genetic Algorithm perspective - Softcover

 
9786202518451: Artificial Intelligence based effective algorithm for Software Testing: A Genetic Algorithm perspective

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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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Bright Keswani
ISBN 10: 6202518456 ISBN 13: 9786202518451
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Taschenbuch. Condition: 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. Seller Inventory # 9786202518451

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Bright Keswani|Vikas Yadav
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456 ISBN 13: 9786202518451
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Condition: 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. Seller Inventory # 385945624

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Bright Keswani
ISBN 10: 6202518456 ISBN 13: 9786202518451
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Taschenbuch. Condition: 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. Seller Inventory # 9786202518451

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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202518456 ISBN 13: 9786202518451
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Taschenbuch. Condition: 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. Seller Inventory # 9786202518451

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