Earticle

초록

영어

A new algorithm combined Eagle Strategy with PSO is proposed. The new algorithm performs by two phases: First Eagle Strategy is used to do global search; Second PSO algorithm is used to do fast local search around a promising solution. The balance of global search and local search is considered simultaneously. It is not only help to jump out of local optimum but also accelerate local convergence. Experimental results on three benchmark problems illustrate that the presented approach is effective, efficient and accurate for solving reliability redundancy optimization problems.

목차

Abstract
 1. Introduction
 2. Eagle Strategy and PSO
  2.1. Eagle Strategy
  2.2. The Particle Swarm Optimization (PSO)
 3. The Algorithm based on Eagle Strategy and PSO
 4. Simulations and Comparisons
  4.1. P1: Series System
  4.2. P2: Series-parallel System
  4.3. P3: Complex (Bridge) System
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Yubao Liu [ College of Computer Science and Technology, Jilin University, Changchun, China, College of Computer Science and Technology, Changchun University, Changchun, China ]
• Guihe Qin [ College of Computer Science and Technology, Jilin University, Changchun, China, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605