@inproceedings{6e5e38904c33457a935265a0a86985d2,
title = "The random factor in particle swarm optimiazation",
abstract = "The paper introduces the random factor in Particle Swarm Optimization. Comparing with inertia weight, the particle's velocity is determined by previous velocity, own experience, public knowledge and random behavior. The random operator is similar with the mutation operator in the Genetic Algorithms. Simulation results show that the method introducing the random factor is better than inertia weight and constriction factor.",
keywords = "Constriction factor, Inertia weight, Particle Swarm Optimization, Random operator",
author = "Xiaohong Qiu and Jun Liu and Xuemei Ren",
year = "2009",
doi = "10.1109/ICICISYS.2009.5358027",
language = "English",
isbn = "9781424447541",
series = "Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009",
pages = "787--791",
booktitle = "Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009",
note = "2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 ; Conference date: 20-11-2009 Through 22-11-2009",
}