Cutting Angle Method and a Local Search

  • Authors:

  • A. M. Bagirov;A. M. Rubinov

  • Affiliations:

  • School of Information Technology and Mathematical Sciences, The University of Ballarat, Vic 3353, Australia(E-mail: amr@ballarat.edu.au);School of Information Technology and Mathematical Sciences, The University of Ballarat, Vic 3353, Australia

  • Venue:
  • Journal of Global Optimization
  • Year:
  • 2003

Quantified Score

Hi-index 0.01

Visualization

Abstract

The paper deals with combinations of the cutting angle method in global optimization and a local search. We propose to use special transformed objective functions for each intermediate use of the cutting angle method. We report results of numerical experiments which demonstrate that the proposed approach is very beneficial in the search for a global minimum.