期刊名称：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
印刷版ISSN：2146-5703
出版年度：2020
卷号：10
期号：2
页码：259-263
DOI：10.11121/ijocta.01.2020.00900
出版社：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
摘要：Hybridizing the trust region, line search and simulated annealing methods, we develop a heuristic algorithm for solving unconstrained optimization problems. We make some numerical experiments on a set of CUTEr test problems to investigate efficiency of the suggested algorithm. The results show that the algorithm is practically promising.
关键词：Nonlinear programming;unconstrained optimization;trust region method;line search;randomized algorithm
