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ISBN 10: 8119808800 ISBN 13: 9788119808809
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Published by B.R. Publishing Corporation, 2024
ISBN 10: 8119808800 ISBN 13: 9788119808809
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handb.
Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Buch. Condition: Neu. Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms | Sujata Dash (u. a.) | Buch | Gebunden | Englisch | 2017 | Engineering Science Reference | EAN 9781522528579 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Engineering Science Reference, 2017
ISBN 10: 1522528571 ISBN 13: 9781522528579
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.