loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 International Conference on Computational Intelligence and Security
A New Population Diversity Model in Intelligence Optimization Algorithms
Beijing, China
December 11-December 14
ISBN: 978-0-7695-3931-7
ASCII Text
x 
 
Jiqiang Feng, Weixin Xie, Chen Xu, "A New Population Diversity Model in Intelligence Optimization Algorithms," Computational Intelligence and Security, International Conference on, vol. 2, pp. 80-83, 2009 International Conference on Computational Intelligence and Security, 2009.
 
 
BibTex
x
 
@article{ 10.1109/CIS.2009.198,
author = {Jiqiang Feng and Weixin Xie and Chen Xu},
title = {A New Population Diversity Model in Intelligence Optimization Algorithms},
journal ={Computational Intelligence and Security, International Conference on},
volume = {2},
year = {2009},
isbn = {978-0-7695-3931-7},
pages = {80-83},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIS.2009.198},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence and Security, International Conference on
TI - A New Population Diversity Model in Intelligence Optimization Algorithms
SN - 978-0-7695-3931-7
SP80
EP83
A1 - Jiqiang Feng,
A1 - Weixin Xie,
A1 - Chen Xu,
PY - 2009
KW - Swarm Intelligence
KW - Population Diversity
KW - Probability Theory
KW - Normal Distribution
VL - 2
JA - Computational Intelligence and Security, International Conference on
ER -
 
A mathematical framework based on probability theory is presented that enables us to analyze one important aspect of SI algorithms: the population diversity. Firstly the population density degree is defined for the population in the SI algorithms. The population diversity is then discussed from the point of view of the normal distribution in statistics. We show that there is a close connection between the distribution and population diversity and that the essential structure of population diversity is quite similar to that of the distribution. A detailed construction of the population diversity model is then given that is based on probability distributions. The paper concludes with a generic numerical example that validates the population diversity model.
Index Terms:
Swarm Intelligence, Population Diversity, Probability Theory, Normal Distribution
Citation:
Jiqiang Feng, Weixin Xie, Chen Xu, "A New Population Diversity Model in Intelligence Optimization Algorithms," cis, vol. 2, pp.80-83, 2009 International Conference on Computational Intelligence and Security, 2009
Usage of this product signifies your acceptance of the Terms of Use.