Earticle

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

키워드

저자

• Shuhao Yu [ School of Information Engineering, West Anhui University, 237012 Lu’an, China, School of Management, Hefei University of Technology, 230009 Hefei, China ]
• Shenglong Zhu [ State Grid Anhui Electric Power Research Institute, 230601 Hefei, China ]
• Renjin Liu [ School of Information Engineering, West Anhui University, 237012 Lu’an, China ]
• Xiancun Zhou [ School of Information Engineering, West Anhui University, 237012 Lu’an, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605