DocumentCode
1899395
Title
Selection Methods Research Based on Stochastic Ranking for Constrained Optimization
Author
Jiang, Ling ; Zhao, Wei ; Li, Bo ; Qin, Yiwen ; Zhao, Xinchao
Author_Institution
Sch. of Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
2
fYear
2012
fDate
23-25 March 2012
Firstpage
402
Lastpage
405
Abstract
This paper describes some general constrained optimization problem-solving methods at first, and then different ideas of combining particle swarm optimization with stochastic ranking are proposed. Accordingly, three algorithms (SR1, SRe1, SRhs) are constructed together with disturbance idea and their pros and cons are analyzed. Finally, some typical benchmarks are used to confirm their performance and achieve better results.
Keywords
constraint handling; particle swarm optimisation; stochastic processes; SR1 algorithm; SRe1 algorithm; SRhs algorithm; constrained optimization; disturbance idea; particle swarm optimization; problem-solving method; ranking selection method; stochastic ranking; Convergence; Educational institutions; Genetic algorithms; Neural networks; Optimization; Particle swarm optimization; Telecommunications; Constrained optimization; PSO; disturbance; stochastic ranking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.374
Filename
6188049
Link To Document