An improved branch‐and‐cut algorithm for mixed‐integer nonlinear systems optimization problem
An improved branch‐and‐cut algorithm for mixed‐integer nonlinear systems optimization problem
复制标题
混合整数非线性系统优化问题的改进分支割算法
DOI:
10.1002/aic.11616
复制
发表时间:
2008
期刊:
影响因子:
3.7
通讯作者:
M. Nakaiwa
中科院分区:
文献类型:
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作者:
Yushan Zhu;Yijiong Hu;Hao Wu;M. Nakaiwa
Recent advances for global optimization and dynamic optimization of the mixed-integer systems have created an increasing demand for efficient and robust numerical algorithms for mixed-integer nonlinear programming (MINLP) problem. In this article, an improved branch-and-cut algorithm for 0-1 MINLP problems has been proposed by using our former critical finding (Zhu and Kuno, Ind Eng Chem Res. 2006;45:187–196) of the disjunctive cutting plane for 0-1 MINLP. By virtue of the polyhedral outer approximation of the mixed-integer nonlinear set of the original MINLP problem at each enumeration node, a lift-and-project cutting planes that is valid for the original MINLP problem and cuts the fractional solution away can be generated by using the cut generating, lifting, and strengthening approach for MILP problem of Balas et al. (Math Program. 1993;58:295–324). The specific implementation issues of the cutting planes are discussed and incorporated into the algorithmic development of a branch-and-cut algorithm. The efficiency of the improved disjunctive cutting plane is demonstrated by the computational results for 11 systems optimization problems, and it is implied that the proposed branch-and-cut algorithm is very promising for practical MINLP problems as the interior-point solvers for nonlinear programming problems with many constraints are becoming mature gradually. © 2008 American Institute of Chemical Engineers AIChE J, 2008
DOI:
--
发表时间:
2006
期刊:
Industrial and Engineering Chemistry Research 45
影响因子:
--
作者:
Y.Zhu;T.Kuno
通讯作者:
T.Kuno