scholarly journals Research on Particle Swarm Practical Algorithm of Partial Differential Exact Solution Based on Computer Software Analysis

2021 ◽  
Vol 1992 (3) ◽  
pp. 032120
Author(s):  
Ping Zhou ◽  
Changfu Liu ◽  
Jinmei Liu
Keyword(s):  
Exact Solution ◽  
Computer Software ◽  
Particle Swarm ◽  
Partial Differential ◽  
Software Analysis ◽  
Practical Algorithm

scholarly journals Exact solution of variable coefficient mixed hyperbolic partial differential problems

2003 ◽  
Vol 16 (3) ◽  
pp. 309-312 ◽  
Author(s):  
M.J. Rodriguez-Alvarez ◽  
G. Rubio ◽  
L. Jódar ◽  
A.E. Posso
Keyword(s):  
Exact Solution ◽  
Variable Coefficient ◽  
Partial Differential

Study of Sintering Blending Based on Swarm Intelligence Optimization Algorithm

2012 ◽  
Vol 198-199 ◽  
pp. 1550-1553 ◽  
Author(s):  
Hui Zhao ◽  
Ming Wang ◽  
Hong Jun Wang ◽  
You Jun Yue
Keyword(s):  
Exact Solution ◽  
Optimization Algorithm ◽  
Ant Colony Algorithm ◽  
Particle Swarm ◽  
Optimization Method ◽  
Feedback Mechanism ◽  
Ant Colony ◽  
Positive Feedback Mechanism ◽  
Swarm Intelligence Optimization

The sintering blending is a complex nonlinear optimization problem. The traditional single algorithm can not meet the requirement of good quality of sinter and lowest costs well. So, a hybrid optimization method of particle swarm and ant colony algorithm was proposed. The method gives full play to the global convergence of particle swarm optimization algorithm, takes it as a preliminary search, then use the positive feedback mechanism of ant colony algorithm for the exact solution, to make these two algorithms to reach a complementary, in order to get a rapid exact solution. The simulation results show that the proposed hybrid algorithm has fast convergence and high accuracy, which can effectively reduce the sintering cost.

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