A Review of Nature-Inspired Algorithms
The study of bionics bridges the functions, biological structures and organizational principles found in nature with our modern technologies, and numerous mathematical and metaheuristic algorithms have been developed along with the knowledge transferring process from the lifeforms to the human technologies. Output of bionics study includes not only physical products, but also various computation methods that can be applied in different areas. People have learnt from biological systems and structures to design and develop a number of different kinds of optimisation algorithms that have been widely used in both theoretical study and practical applications. In this paper, a number of selected nature-inspired algorithms are systematically reviewed and analyzed. Though the paper is mainly focused on the original principle behind each of the algorithm, their applications are also discussed.
bionic optimization algorithms review Ant Colony Optimization Bees Algorithm Genetic Algorithm Firefly Algorithm
Hongnian Zang Shujun Zhang Kevin Hapeshi
Department of Computing, the University of Gloucestershire, Cheltenham, GL50 2RH, UK
国际会议
The 3rd International Conference of Bionic Engineering(第三届国际仿生工程会议ICBE10)
珠海
英文
232-237
2010-09-14（万方平台首次上网日期，不代表论文的发表时间）