TY - EJOU
AU - Wang, Fengjuan
TI - Study on the Application of an Improved Intelligent Group Algorithm
T2 - Intelligent Automation \& Soft Computing
PY - 2020
VL - 26
IS - 5
SN - 2326-005X
AB - 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.
KW - Intelligent group algorithm; particle swarm optimization; simulated annealing algorithm; application field
DO - 10.32604/iasc.2020.010138