Swarm Intelligence Optimization Algorithms and Their Application

Authors

Ting Yu, School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China
Limin Wang, School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, ChinaFollow
Xuming Han, Institute of Software, Changchun University of Technology, Changchun 130117, China
Ying Liu, School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China
Li Zhang, School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China

Abstract

Swarm intelligence optimization algorithm is an emerging technology tosimulate the evolution of the law of nature and acts of biological communities, it has simple and robust characteristics. The algorithm has been successfully applied in many fields. This paper summarizes the research status of swarm intelligence optimization algorithm and application progress. Elaborate the basic principle of ant colony algorithm and particle swarm algorithm. Carry out a detailed analysis of drosophila algorithm and firefly algorithm developed in recent years, and put forward deficiencies of each algorithm and direction for improvement.

Recommended Citation

Yu, Ting; Wang, Limin; Han, Xuming; Liu, Ying; and Zhang, Li, "Swarm Intelligence Optimization Algorithms and Their Application" (2015). WHICEB 2015 Proceedings. 3.
https://aisel.aisnet.org/whiceb2015/3