A Non-Parameter Filled Function Method for Unconstrained Global Optimization Problems

被引：1
|
作者：
Liu, Yingchun [1 ]
Gao, Yuelin [2 ]
Ma, Suxia [1 ]
Guo, Eryang [1 ]
机构：
[1] North Minzu Univ, Sch Math & Informat Sci, Yinchuan 750021, Peoples R China
[2] North Minzu Univ, Ningxia Prov Cooperat Innovat Ctr Sci Comp & Intel, Yinchuan 750021, Peoples R China
来源：
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH | 2024年 / 41卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Global optimization problems; filled function; deterministic algorithm; ALGORITHM;
D O I：
10.1142/S0217595923500136
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：
In the paper, we give a new non-parameter filled function method for finding global minimizer of global optimization programming problems, the filled function consists of a inverse cosine function and a logarithm function, and without parameter. Its theoretical residences are proved. A new filled function algorithm is given based on the proposed new parameterless filled function, The results of numerical with ten experiments verify the efficient and reliability for the algorithm.
引用
收藏
页数：18
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