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.
"synopsis" may belong to another edition of this title.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26404088614
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 409098489
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404088620
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
BPM. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9789362247766
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
BPM. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9789362247766
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9789362247766
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Seller Inventory # 9789362247766