Intelligent Decision Making Through Bio-Inspired Optimization (Advances in Computational Intelligence and Robotics)

Jaganathan, Ramkumar

ISBN 13: 9798369346921

Published by IGI Global, 2024

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Seller Inventory # wbs3035339369

Bibliographic Details

• Title: Intelligent Decision Making Through Bio-Inspired Optimization (Advances in Computational Intelligence and Robotics)
• Publisher: IGI Global
• Publication Date: 2024
• Language: English
• ISBN 13: 9798369346921
• Binding: Soft cover
• Condition: Like New
• Weight: 689.5 grams

About this title

Synopsis

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.