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Synopsis
The idea of taking inspiration from nature to solve computational problems is not new. Since the inception of artificial intelligence, researchers have turned to biological processes and ecosystems as models of adaptive, resilient, and efficient problem-solving. Organisms in nature face constant evolutionary pressures, forcing them to develop optimal strategies for survival through adaptive skills and complex behaviors. These emergent behaviors, honed over millions of years, offer insights that can be emulated in computational models to achieve highly effective solutions to human problems. Bio-inspired algorithms capture these adaptive, self-organizing, and resilient qualities, allowing for the development of computational models that mirror nature's creativity and problem-solving prowess.
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Bio inspired Computing Techniques
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Discovery Publishing House, New Delhi, 2026
ISBN 10: 9362247763
ISBN 13: 9789362247766
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Bio Inspired Computer Techniques
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DISCOVERY PUBLISHING HOUSE, 2024
ISBN 10: 9362247763
ISBN 13: 9789362247766
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Bio Inspired Computer Techniques
Published by
DISCOVERY PUBLISHING HOUSE, 2024
ISBN 10: 9362247763
ISBN 13: 9789362247766
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BPM. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9789362247766
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Bio-inspired Computing Techniques
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Discovery Publishing House (India), 2026
ISBN 10: 9362247763
ISBN 13: 9789362247766
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Bio-inspired Computing Techniques
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DISCOVERY PUBLISHING HOUSE, 2026
ISBN 10: 9362247763
ISBN 13: 9789362247766
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Buch. Condition: Neu. Bio-inspired Computing Techniques | Shashi Narayan | Buch | Englisch | 2026 | DISCOVERY PUBLISHING HOUSE | EAN 9789362247766 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135286610
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Bio-inspired Computing Techniques
Published by
DISCOVERY PUBLISHING HOUSE, 2026
ISBN 10: 9362247763
ISBN 13: 9789362247766
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The idea of taking inspiration from nature to solve computational problems is not new. Since the inception of artificial intelligence, researchers have turned to biological processes and ecosystems as models of adaptive, resilient, and efficient problem-solving. Organisms in nature face constant evolutionary pressures, forcing them to develop optimal strategies for survival through adaptive skills and complex behaviors. These emergent behaviors, honed over millions of years, offer insights that can be emulated in computational models to achieve highly effective solutions to human problems. Bio-inspired algorithms capture these adaptive, self-organizing, and resilient qualities, allowing for the development of computational models that mirror nature's creativity and problem-solving prowess. Seller Inventory # 9789362247766