Design optimization of a microelectromechanical electric field sensor using genetic algorithms
This thesis studies the application of a multi-objective niched Pareto genetic algorithm on the design optimization of an electric field mill sensor. The original sensor requires resonant operation. The objective of the algorithm presented is to optimize the geometry eliminating the need for resonan...
Main Author: | Roy, Mark |
---|---|
Other Authors: | Shafai, Cyrus (Electrical & Computer Engineering) |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/1993/8920 |
Similar Items
-
Design optimization of a microelectromechanical electric field sensor using genetic algorithms
by: Roy, Mark
Published: (2012) -
Torsional Moving Electric Field Sensor with Modulated Sensitivity and without Reference Ground
by: Sampath Liyanage, et al.
Published: (2017-08-01) -
Equivalent Circuit Model of an Optomechanical MEMS Electric Field Strength Sensor
by: Andreas Kainz, et al.
Published: (2018-12-01) -
Design, modeling and fabrication of a copper electroplated MEMS, membrane based electric field sensor
by: Tahmasebian, Ehsan
Published: (2015) -
Genetic algorithm with elitist-tournament for clashes-free slots of lecturer timetabling problem
by: Othman, A.A, et al.
Published: (2018)