Implementation of novel methods of global and nonsmooth optimization: GANSO programming library

被引:16
作者
Beliakov, G.
Ugon, J.
机构
[1] Deakin Univ, Sch Engn & Informat Technol, Geelong, Vic 3217, Australia
[2] Univ Ballarat, Sch Informat Technol & Math Sci, Mt Helen 3353, Australia
关键词
global optimization; nonsinooth optimization; nonlinear programming; millierical optimization;
D O I
10.1080/02331930701617429
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We discuss the implementation of a number of modern methods of global and nonsmooth continuous optimization, based oil the ideas of Rubinov, in a programming library GANSO. GANSO implements the derivative-free bundle method, the extended cutting ailgle method, dynamical system-based optimization and their various combinations and heuristics. We outline the main ideas behind each method, and report oil the interfacing with Matlab and Maple packages.
引用
收藏
页码:543 / 546
页数:4
相关论文
共 7 条
  • [1] Cutting angle method and a local search
    Bagirov, AM
    Rubinov, AM
    [J]. JOURNAL OF GLOBAL OPTIMIZATION, 2003, 27 (2-3) : 193 - 213
  • [2] Geometry and combinatorics of the cutting angle method
    Beliakov, G
    [J]. OPTIMIZATION, 2003, 52 (4-5) : 379 - 394
  • [3] Challenges of continuous global optimization in molecular structure prediction
    Beliakov, Gleb
    Lim, Kieran F.
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 181 (03) : 1198 - 1213
  • [4] *CTR INF APPL OPT, 2006, GANSO PROGR LIBR
  • [5] Mammadov M, 2005, APPL OPTIMIZAT, V99, P365
  • [6] Mammadov M. A., 2005, PACIFIC J OPTIMIZATI, V1, P405
  • [7] Rubinov AM., 2000, Abstract Convexity and Global Optimization