Applied Nature-Inspired Computing: Algorithms and Case Studies (1st ed. 2020) (Springer Tracts in Nature-Inspired Computing)
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- Synopsis
- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811392634
- Related ISBNs:
- 9789811392627
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 08/13/19
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Nilanjan Dey
- Edited by:
- Amira S. Ashour
- Edited by:
- Siddhartha Bhattacharyya
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- by Nilanjan Dey
- by Amira S. Ashour
- by Siddhartha Bhattacharyya
- in Nonfiction
- in Computers and Internet