Curve search method for constrained global optimization

K. Masuda, E. Aiyoshi

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)I397-I400
JournalMidwest Symposium on Circuits and Systems
Publication statusPublished - 2004 Dec 1
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 2004 Jul 252004 Jul 28

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering


Dive into the research topics of 'Curve search method for constrained global optimization'. Together they form a unique fingerprint.

Cite this