A Review of Nature-Inspired Algorithms

Zang, Hongnian, Zhang, Shujun ORCID: 0000-0001-5699-2676 and Hapeshi, Kevin (2010) A Review of Nature-Inspired Algorithms. Journal of Bionic Engineering, 7. S232-S237. doi:10.1016/S1672-6529(09)60240-7

Full text not available from this repository.


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.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: bionic optimization algorithms review; Ant Colony Optimization; Bees Algorithm; Genetic Algorithm; Firefly Algorithm
Subjects: T Technology > T Technology (General)
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Anne Pengelly
Date Deposited: 28 Apr 2015 15:06
Last Modified: 31 Aug 2023 08:01
URI: https://eprints.glos.ac.uk/id/eprint/2143

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter Google+ YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.