Shangce Gao

University of Toyama Japan

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 in 2008 and 2011, respectively. From 2005 to 2006, he was a technical support engineer in Wicrosoft Co. Ltd., Shanghai, China. He has received the Outstanding Academic Performance Award of IEICE Hokuriku Branch in 2008, the Outstanding Self-financed Students Abroad Award of Chinese Government from China Scholarship Council in 2009, the Outstanding Academic Achievement Award of IPSJ Hokuriku Branch in 2011, and the Outstanding Doctoral Award of University of Toyama in 2011. He is currently an associate research fellow at the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China. His main research interests are intelligent computing and brain cognition.

1books edited

Latest work with IntechOpen by Shangce Gao

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. It 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.

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Bio-Inspired Computational Algorithms and Their Applications

Edited by Shangce Gao