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Více informací o knize Applied Nature-Inspired Computing: Algorithms and Case Studies

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Anotace knihy

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Applied Nature-Inspired Computing: Algorithms and Case Studies
• Autor: Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 275
• EAN: 9789811392627
• ISBN: 9811392625
• ID: 22556958
• Nakladatelství: Springer Verlag, Singapore
• Hmotnost: 600 g
• Rozměry: 235 × 155 × 21 mm
• Datum vydání: 24. August 2019

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