@Article{iasc.2020.010138,
AUTHOR = {Fengjuan Wang},
TITLE = {Study on the Application of an Improved Intelligent Group Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {5},
PAGES = {1073--1080},
URL = {http://www.techscience.com/iasc/v26n5/40826},
ISSN = {2326-005X},
ABSTRACT = { The Particle swarm optimization algorithm (PSO) and the simulated 
annealing algorithm (SA) are two well-known stochastic and intelligent methods 
used for optimization. Both methods have some shortcomings. On the basis of the 
shortcomings of PSO and SA, this paper offers an enhanced intelligent group 
algorithm on the basis of the roulette rule to improve the parameter velocity ν of 
(PSO) and the initial temperature of SA algorithm. This paper gives a detailed 
introduction to the principle and flow of the new algorithm and introduces the 
application status of the new algorithm.},
DOI = {10.32604/iasc.2020.010138}
}