scholarly journals Three-Dimensional Nepal Earthquake Displacement Using Hybrid Genetic Algorithm Phase Unwrapping from Sentinel-1A Satellite

10.5772/66636 ◽  
2017 ◽  
Author(s):  
Maged Marghany ◽  
Shattri Mansor
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Three Dimensional ◽  
Phase Unwrapping ◽  
Nepal Earthquake

Two-dimensional phase unwrapping using a hybrid genetic algorithm

2007 ◽  
Vol 46 (5) ◽  
pp. 730 ◽  
Author(s):  
Salah A. Karout ◽  
Munther A. Gdeisat ◽  
David R. Burton ◽  
Michael J. Lalor
Keyword(s):  
Genetic Algorithm ◽  
Hybrid Genetic Algorithm ◽  
Phase Unwrapping ◽  
Two Dimensional

scholarly journals The Problem of Balancing an Inverted Spherical Pendulum on an Omniwheel Platform

2021 ◽  
Vol 17 (4) ◽  
pp. 507-525
Author(s):  
A. S. Shaura ◽  
◽  
V. A. Tenenev ◽  
E. V. Vetchanin ◽  
◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Inverted Pendulum ◽  
Initial Conditions ◽  
Equations Of Motion ◽  
Hybrid Genetic Algorithm ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Spherical Pendulum ◽  
Pendulum System ◽  
End Point

This paper addresses the problem of balancing an inverted pendulum on an omnidirectional platform in a three-dimensional setting. Equations of motion of the platform – pendulum system in quasi-velocities are constructed. To solve the problem of balancing the pendulum by controlling the motion of the platform, a hybrid genetic algorithm is used. The behavior of the system is investigated under different initial conditions taking into account a necessary stop of the platform or the need for continuation of the motion at the end point of the trajectory. It is shown that the solution of the problem in a two-dimensional setting is a particular case of three-dimensional balancing.

The Improvement of a Hybrid Genetic Algorithm for Three Dimensional Bin-Packing Problems

2012 ◽  
Vol 200 ◽  
pp. 470-473
Author(s):  
Zhen Zhai ◽  
Li Chen ◽  
Xiao Min Han
Keyword(s):  
Genetic Algorithm ◽  
Bin Packing ◽  
Hybrid Genetic Algorithm ◽  
Three Dimensional ◽  
Packing Problem ◽  
Flow Process ◽  
Packing Problems ◽  
Loading Problem ◽  
The Cost ◽  
Process Diagrams

The multi-constrained bi-objective bin packing problem has many extensive applications. In the loading section of logistics it has mainly been transported by truck. The cost of transportation is not only determined by the bin space utilization, but also by the number of vehicles in transporta¬tion utilization. The type of items and bins is introduced in the mathematical model, as well as the volume of the items. In this paper, the hybrid genetic algorithm which tabu and simulated annealed rules are added for complex container-loading problem is studied. The effective coding and decod-ing method together with flow process diagrams are given.

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