Earticle

초록

영어

Particle swarm optimization (POS) algorithm is a reference to the mechanism of the biological predation community of a random search algorithm, the validity of its search, got extensive application in many ways.But the particle swarm algorithm has poor local search ability and easy early faults.So on the basis of it, combined with the genetic algorithm is proposed based on a mixed particle swarm algorithm.The new algorithm USES the similar to the mutation and crossover operation of genetic algorithm, speed and position update formula easier to express.To primary respectively after the particle group division evolution, global optimization to the formation of new species.Applied in the IP network quality of service routing optimization mixed POS algorithm, both meet the requirement of quality of service and will choose the path cost minimum as the optimization index.Through a series of simulation experiments of network routing, the improved algorithm has good effect.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 Basic Ideas of Particle Group Method
  2.2 Operation Process and Application
  2.3 Mixing PSO Model
 3. Mixing of PSO in the Application of the Network Routing Optimization
 4. The Simulation Results
 5. Conclusion
 Reference

키워드

저자

• Sheng Yan Gang [ Qingdao Vocational and Technical College of Hotel Management ]
• Tong Fei [ Qingdao Vocational and Technical College of Hotel Management ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605