Convexification for a Class of Global Optimization Problems with C1,1 Functions

被引:0
作者
Yan, Qian [1 ,2 ]
Yang, Xin-Min [3 ,4 ]
Wu, Zhi-You [4 ]
机构
[1] Chongqing Univ Technol, Coll Sci, Chongqing 400054, Peoples R China
[2] Sichuan Univ, Coll Math, Chengdu 610065, Sichuan, Peoples R China
[3] Natl Ctr Appl Math Chongqing, Chongqing 401331, Peoples R China
[4] Chongqing Normal Univ, Coll Math Sci, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
Global optimization; Monotone optimization; Convexification; C-1; Functions; CONCAVIFICATION; RELIABILITY;
D O I
10.1007/s40305-023-00521-0
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
A general convexification method via domain transformation scheme is presented for solving a class of global optimization problems with certain monotone properties. It is shown that this class of problems with C-1,C-1 functions can be converted into equivalent convex optimization problems by using the proposed convexification method. Finally, an example is shown to illustrate how a monotone non-convex optimization problem can be transformed into an equivalent convex minimization problem.
引用
收藏
页数:19
相关论文
共 33 条