Hybrid Simulated Annealing and Direct Search Method for Nonlinear Unconstrained Global Optimization

Author： Hedar Abdel-Rahman   Fukushima Masao  

Publisher： Taylor & Francis Ltd

ISSN： 1055-6788

Source： Optimization Methods and Software, Vol.17, Iss.5, 2002-01, pp. : 891-912

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Heuristic pattern search and its hybridization with simulated annealing for nonlinear global optimization

By Hedar Abdel-Rahman   Fukushima Masao  

Optimization Methods and Software, Vol. 19, Iss. 3-4, 2004-06 ,pp. : 291-308

Taylor & Francis Ltd

Access to resources Recommend Favorite

New Inexact Line Search Method for Unconstrained Optimization

By Shi Z.   Shen J.  

Journal of Optimization Theory and Applications, Vol. 127, Iss. 2, 2005-11 ,pp. : 425-446

Springer Publishing Company

Access to resources Recommend Favorite

A hybrid ODE-based method for unconstrained optimization problems

By Ou Yi-gui  

Computational Optimization and Applications, Vol. 53, Iss. 1, 2012-09 ,pp. : 249-270

Springer Publishing Company

Access to resources Recommend Favorite

Global convergence of the DY conjugate gradient method with Armijo line search for unconstrained optimization problems

By Zhang Li   Zhou Weijun   Li Donghui  

Optimization Methods and Software, Vol. 22, Iss. 3, 2007-06 ,pp. : 511-517

Taylor & Francis Ltd

Access to resources Recommend Favorite

Global Convergence of a Memory Gradient Method for Unconstrained Optimization

By Narushima Yasushi   Yabe Hiroshi  

Computational Optimization and Applications, Vol. 35, Iss. 3, 2006-11 ,pp. : 325-346

Springer Publishing Company

Access to resources Recommend Favorite