Earticle

초록

영어

The bat algorithm is a recently proposed meta-heuristic algorithm. Usually in solving the problem of optimization, the position of virtual bats is updated by flying speed, which decreases efficiency of the algorithm and accuracy of the solution. This paper has improved the location update strategy and individual selection strategy of bat algorithm, then puts forward an improved bat algorithm. The algorithm is used to solve three typical reliability-redundancy allocation problems, and the simulation experiment results show that the presented algorithm greatly enhances the computation efficiency, convergence speed and precision of the optimal solution in addressing the problem of reliability redundancy optimization. When compared with the best results reported in the previous literatures, the algorithm achieves a better or equally good optimal solution. It is demonstrated that the proposed algorithm is effective in solving reliability-redundancy allocation problems.

목차

Abstract
 1. Introduction
 2. Improved Bat Algorithm（IBA）
 3. Simulations and Comparisons
  3.1. Problem 1(P1): Series system
  3.2. Problem 2(P2): Series Parallel System
  3.3. P3:Complex (Bridge) System
 4. Simulation Results, Analysis and Discussion
 5. Conclusion
 References

키워드

저자

• Yubao Liu [ College of Computer Science and Technology, Changchun University, Changchun, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605