Title :
Optimization of sensor micro-structures: a general and improved first order method
Author :
Murthi, A. ; Çela, A. ; Rocaries, F.
Author_Institution :
Dept. Autom., ESIEE, Noisy-Le-Grand, France
Abstract :
An improved first order version of the moving asymptotes method is presented within the optimization of sensor micro-structures. In each iteration of the optimization process, a convex approximating subproblem is generated and solved. The subproblem generation is made based on so called “moving asymptotes”. Here, the authors propose a new scheme for calculating the moving asymptotes. It proceeds with curvature normalization of approximation functions between two successive iterations
Keywords :
iterative methods; microsensors; minimisation; nonlinear programming; approximation functions; convex approximating subproblem; curvature normalization; first order method; moving asymptotes method; optimization; sensor micro-structures; Convergence; Frequency; Mathematical programming; Mechanical sensors; Optimization methods; Sensor phenomena and characterization; Shape; Stress; Taylor series; Upper bound;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537826
