Instrument design and optimization using genetic algorithms

2006 ◽  
Vol 77 (10) ◽  
pp. 105107 ◽  
Author(s):  
Robert Hölzel ◽  
Phillip M. Bentley ◽  
Peter Fouquet
Keyword(s):  
Genetic Algorithms ◽  
Instrument Design ◽  
Design And Optimization

scholarly journals Design and Optimization of a High-Time-Resolution Magnetic Plasma Analyzer (MPA)

2020 ◽  
Vol 10 (23) ◽  
pp. 8483
Author(s):  
Benjamin Criton ◽  
Georgios Nicolaou ◽  
Daniel Verscharen
Keyword(s):  
Magnetic Field ◽  
Time Resolution ◽  
Permanent Magnets ◽  
Instrument Design ◽  
High Time ◽  
Acquisition Time ◽  
High Time Resolution ◽  
Design And Optimization ◽  
New Instrument ◽  
Α Particles

In-situ measurements of space plasma throughout the solar system require high time resolution to understand the plasma’s kinetic fine structure and evolution. In this context, research is conducted to design instruments with the capability to acquire the plasma velocity distribution and its moments with high cadence. We study a new instrument design, using a constant magnetic field generated by two permanent magnets, to analyze solar wind protons and α-particles with high time resolution. We determine the optimal configuration of the instrument in terms of aperture size, sensor position, pixel size and magnetic field strength. We conduct this analysis based on analytical calculations and SIMION simulations of the particle trajectories in our instrument. We evaluate the velocity resolution of the instrument as well as Poisson errors associated with finite counting statistics. Our instrument is able to resolve Maxwellian and κ-distributions for both protons and α-particles. This method retrieves measurements of the moments (density, bulk speed and temperature) with a relative error below 1%. Our instrument design achieves these results with an acquisition time of only 5 ms, significantly faster than state-of-the-art electrostatic analyzers. Although the instrument only acquires one-dimensional cuts of the distribution function in velocity space, the simplicity and reliability of the presented instrument concept are two key advantages of our new design.

Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures

2009 ◽  
Vol 33 (11) ◽  
pp. 1841-1850 ◽  
Author(s):  
José Antonio Vazquez–Castillo ◽  
Josué Addiel Venegas–Sánchez ◽  
Juan Gabriel Segovia–Hernández ◽  
Héctor Hernández-Escoto ◽  
Salvador Hernández ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Design And Optimization

Genetic algorithms in the design and optimization of antenna array patterns

1999 ◽  
Vol 47 (3) ◽  
pp. 506-510 ◽  
Author(s):  
F.J. Ares-Pena ◽  
J.A. Rodriguez-Gonzalez ◽  
E. Villanueva-Lopez ◽  
S.R. Rengarajan
Keyword(s):  
Genetic Algorithms ◽  
Antenna Array ◽  
Design And Optimization

Study on the Rapid Design and Optimization Technology of Forklift Styling

2011 ◽  
Vol 66-68 ◽  
pp. 944-949
Author(s):  
Huan Su ◽  
Shou Qian Sun ◽  
Hai Hua Ren ◽  
Xiao Jian Liu
Keyword(s):  
Genetic Algorithms ◽  
Parameter Optimization ◽  
Design System ◽  
Design And Optimization ◽  
Programming Tools ◽  
Interactive Genetic Algorithms ◽  
Model Surfaces ◽  
New Models ◽  
Computer Aided ◽  
Different Color

The paper introduced a computer-aided industrial design system: Forklift Truck’s Multi Plan Optimizaion System, and demonstrated the modules’ function and techniques with examples. Considering the requirements for efficiency and precision in the forklift styling, the author developed the forklift optimizing software for its styling, which includes parameter optimization, color optimization and part combination three modules. The parameter optimization module can vary the user defined parameters of the forklift models and generate new models. Color optimization module can group the model surfaces and render the groups with different color. New color plans are generated through random changing of the colors in each group. The parts combination module divides forklift into several parts and build lib for each part. The module can pick parts from the lib and assemble them into a whole forklift and demonstrate them. The thesis developed a proto system on the Solidworks platform with VBA programming tools. Interactive genetic algorithms are applied to realize the three module’s function.

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