TY  - CHAP
AU  - Popa Rustem
ED  - Shangce Gao
Y1  - 2012-03-07
PY  - 2012
T1  - Genetic Algorithms: An Overview with Applications in Evolvable Hardware
N2  - 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.
BT  - Bio-Inspired Computational Algorithms and Their Applications
SP  - Ch. 6
UR  - https://doi.org/10.5772/37480
DO  - 10.5772/37480
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -