scholarly journals OPTIMIZATION METHOD USING GENETIC ALGORITHMS AND PARTICLE SWARM OPTIMIZATION FOR PARAMETER ESTIMATION OF DISTRIBUTED RAINFALL-RUNOFF AND QUASI-2D FLOOD FLOWS MODEL

2017 ◽  
Vol 73 (4) ◽  
pp. I_337-I_342
Author(s):  
Mirei SHIGE-EDA ◽  
Juichiro AKIYAMA ◽  
Adelaida Castillo DURAN ◽  
Syouya NAKAKI ◽  
Kouta OKUBO ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimization Method ◽  
Rainfall Runoff ◽  
Swarm Optimization ◽  
Flood Flows

Parameter estimation for chaotic systems with a Drift Particle Swarm Optimization method

2010 ◽  
Vol 374 (28) ◽  
pp. 2816-2822 ◽  
Author(s):  
Jun Sun ◽  
Ji Zhao ◽  
Xiaojun Wu ◽  
Wei Fang ◽  
Yujie Cai ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Particle Swarm Optimization ◽  
Chaotic Systems ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Particle Swarm Optimization Method ◽  
Drift Particle

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

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