ISBN: 9789362247766 - bio-inspired computing techniques (7 risultati)

Hardcover. Condizione: New. ISBN:9789362247766,270pp.

Condizione: New.

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Hardcover. Condizione: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: 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.

Buch. Condizione: 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.…