Solving binary semidefinite programming problems and binary linear programming problems via multi objective programming

被引:0
|
作者
Safi, Mohammadreza [1 ]
Nabavi, Seyed Saeed [1 ]
机构
[1] Semnan Univ, Fac Math Stat & Comp Sci, Semnan, Iran
关键词
Semidefinite programming; Positive semidefinite matrix; Multiobjective programming; Binary programming; OPTIMIZATION; ALGORITHM; HEURISTICS;
D O I
10.22075/ijnaa.2019.13899.1724
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In recent years the binary quadratic program has grown in combinatorial optimization. Quadratic programming can be formulated as a semidefinite programming problem. In this paper, we consider the general form of binary semidefinite programming problems (BSDP). We show the optimal solu-tions of the BSDP belong to the efficient set of a semidefinite multiobjective programming problem (SDMOP). Although finding all efficient points for multiobjective is not an easy problem, but solving a continuous problem would be easier than a discrete variable problem. In this paper, we solve an SDMOP, as an auxiliary, instead of BSDP. We show the performance of our method by generating and solving random problems.
引用
收藏
页码:297 / 304
页数:8
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