Design and Implementation of a Hybrid Intelligent System Based on Particle Swarm Optimization and Distributed Genetic Algorithm

2018 ◽  
pp. 79-93 ◽  
Author(s):  
Admir Barolli ◽  
Shinji Sakamoto ◽  
Kosuke Ozera ◽  
Leonard Barolli ◽  
Elis Kulla ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Intelligent System ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Design And Implementation ◽  
Hybrid Intelligent System ◽  
Distributed Genetic Algorithm

A Hybrid Intelligent System for Wind Shear Encountered Aircraft Landing Control

2015 ◽  
Vol 764-765 ◽  
pp. 592-596
Author(s):  
Jih Gau Juang ◽  
Shuai Ting Yu
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Shear ◽  
Controller Design ◽  
Intelligent System ◽  
Sliding Mode ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Aircraft Landing ◽  
Automatic Landing ◽  
Hybrid Intelligent System

This paper presents sliding mode control (SMC) to aircraft automatic landing system (ALS), and uses genetic algorithm (GA), particle swarm optimization (PSO) and chaos particle swarm optimization (CPSO) to adjust controller parameters. When wind shear is encountered, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in wind shear condition. PID control and cerebella model articulation controller (CMAC) are applied to the controller design.

GENETIC ALGORITHM VERSUS PARTICLE SWARM OPTIMIZATION IN N-QUEEN PROBLEM

2007 ◽  
Vol 10 (2) ◽  
pp. 172-177
Author(s):  
Azhar W. Hammad ◽  
◽  
Dr. Ban N. Thannoon ◽  
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Versus Particle
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