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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.374