In this paper, we propose a revised method of "line search" for optimization problems with nonlinear constraints "curve search" method. The discrete dynamical system based on a nonlinearly constrained gradient dynamics let us search along with a curve, which can implement diverse search without invading the original constraints. We also propose an algorithm which applies the curve search to global optimization. The performance of our proposing method is examined through some simulation results.
|Journal||Midwest Symposium on Circuits and Systems|
|Publication status||Published - 2004 Dec 1|
|Event||The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan|
Duration: 2004 Jul 25 → 2004 Jul 28
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering