• Dec 31, 2019 News!Welcome Assoc. Prof. David E. Breen from USA to join the Editorial board of IJMO.   [Click]
  • Apr 26, 2021 News!Vol 9, No 3 has been indexed by IET(Inspec)   [Click]
  • Aug 26, 2021 News!Vol. 11, No. 4 has been published with online version.   [Click]
General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2018 Vol.8(3): 131-137 ISSN: 2010-3697
DOI: 10.7763/IJMO.2018.V8.637

Sub-Direction Parallel Search Quasi-Newton Algorithm

Wang Bao and Wang Yanxin
Abstract—Advantages and disadvantages in a sequence of unconstrained optimization method are basically compared. The original constrained problem is replaced by a sequence of unconstrained sub-problems through the augmented Lagrangian multiplier method. The unconstrained sub-problems are solved by BFGS method and the sub-direction parallel search quasi-Newton algorithm. Efficiency of this method is compared. The results of numerical tests show that the calculation time of the sub-direction parallel search quasi-Newton algorithm is short and it can solve engineering optimization problems completely.

Index Terms—Quasi-Newton equation, taylor series, global convergence, iteration formula.

The authors are with Ningbo University of Technology, School of Science, China (e-mail: 864787886@ qq.com).


Cite: Wang Bao and Wang Yanxin, "Sub-Direction Parallel Search Quasi-Newton Algorithm," International Journal of Modeling and Optimization vol. 8, no. 3, pp. 131-137, 2018.

Copyright © 2008-2021. International Journal of Modeling and Optimization. All rights reserved.
E-mail: ijmo@iacsitp.com