An Improved Search Approach for Solving Non-Convex Mixed-Integer Non Linear Programming Problems

被引:2
|
作者
Sitopu, Joni Wilson [1 ]
Mawengkang, Herman [2 ]
Lubis, Riri Syafitri [1 ]
机构
[1] Univ Sumatera Utara, Grad Sch Math, Medan, Indonesia
[2] Univ Sumatera Utara, Dept Math, Medan, Indonesia
来源
4TH INTERNATIONAL CONFERENCE ON OPERATIONAL RESEARCH (INTERIOR) | 2018年 / 300卷
关键词
Nonlinear programming; active constraints; direct search; global optimization; BRANCH; MODEL;
D O I
10.1088/1757-899X/300/1/012022
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
The nonlinear mathematical programming problem addressed in this paper has a structure characterized by a subset of variables restricted to assume discrete values, which are linear and separable from the continuous variables. The strategy of releasing nonbasic variables from their bounds, combined with the "active constraint" method, has been developed. This strategy is used to force the appropriate non-integer basic variables to move to their neighbourhood integer points. Successful implementation of these algorithms was achieved on various test problems.
引用
收藏
页数:11
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