원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.9 No.8
2016.08
pp.95-104
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Firefly Algorithm is a nature-inspired optimization method, which has been shown to implement well on numerous optimization problems. But it can easily fall into the local optima and low precision. Therefore, it is very important to overcome these defects. In this paper, we use a dynamic strategy for step setting, which takes into account the population diversity of fireflies. The experiments show that the proposed algorithm improves the performance of original firefly algorithm.
목차
Abstract
1. Introduction
2. Firefly Algorithm Schema
3. The Proposed FA
3.1. Population Diversity Definition
3.2. Dynamic Control of Step
4. Experimental Verifications
5. Conclusion
Acknowledgement
References
1. Introduction
2. Firefly Algorithm Schema
3. The Proposed FA
3.1. Population Diversity Definition
3.2. Dynamic Control of Step
4. Experimental Verifications
5. Conclusion
Acknowledgement
References
저자정보
참고문헌
자료제공 : 네이버학술정보