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Herausgeber: 
  • Shilpa Mehta
  • Ram Krishan
  • Ramkumar Jaganathan
  • Intelligent Decision Making Through Bio-Inspired Optimization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2024  
    Genre:  Wirtschaft / Recht 
     
    Bio-Inspired Decision Optimization Tools / Complex Decision Scenarios / Evolutionary Algorithms / genetic algorithms / Improved Efficiency of Methodologies / Innovative Algorithmic Approaches / Interdisciplinary
    ISBN:  9798369346921 
    EAN-Code: 
    9798369346921 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 280 mm / B 216 mm / D 16 mm 
    Gewicht:  751 gr 
    Seiten:  296 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

      



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