Referred paper and preprints
Xin-long Luo and Hang Xiao, Continuation Newton methods with deflation techniques and quasi-genetic evolution for global optimization problems
发布时间：2021-12-23 点击次数：
发表刊物：arXiv preprint
摘要：The global minimum point of an optimization problem is of interest in engineering fields and it is difficult to be solved, especially for a nonconvex large-scale optimization problem. In this article, we consider a new memetic algorithm for this problem. We compare it with the multi-start method (the built-in subroutine GlobalSearch.m of the MATLAB R2020a environment), the differential evolution algorithm (the DE method, the subroutine de.m of the MATLAB Central File Exchange 2021) and the branch-and-bound method (Couenne of the state-of-the-art open-source solver for mixed integer nonlinear
论文类型：期刊论文
第一作者：罗新龙
合写作者：肖航
学科门类：理学
一级学科：数学
文献类型：J
页面范围：1-23
是否译文：否
发表时间：2021-12-21
收录刊物：SCI