• Title Bio-Inspired Computational Algorithms and Their Applications
• Author(s) Shangce Gao
• Publisher: InTech (March 07, 2012)
• Hardcover: 420 pages
• eBook PDF files, and a ziiped PDF, 13.26 MB
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: 978-953-51-0214-4
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Book Description

Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments.

It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need.

This book integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques.

The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.

• Shangce Gao received the B.S. degree from Southeast University, Nanjing, China in 2005, and the M.S. and Ph. D. degrees in intellectual information systems and Innovative life science from University of Toyama, Toyama, Japan.

• Amazon

• Algorithms and Data Structures
• Bioinformatics, Computational Biology, and Healthcare IT
• Artificial Intelligence
• Operations Research (OR), Linear Programming, Optimization, and Approximation
• Computational and Algorithmic Mathematics

• Bio-Inspired Computational Algorithms and Their Applications (Shangce Gao)
• PDF Format

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