Graph partitioning problem is a classical NP-hard problem.The improvement of graph partitioning results by vertex migration is an important class of methods for graph partitioning.The goal of graph partitioning is get...Graph partitioning problem is a classical NP-hard problem.The improvement of graph partitioning results by vertex migration is an important class of methods for graph partitioning.The goal of graph partitioning is getting a partition with the least number of cut edges,while also satisfying the capacity limit of the partition.In this paper,an optimization model for vertex migration is proposed,considering the influence between neighboring vertices,so that the objective function value of the model is exactly equal to the amount of cut edge variation.The model is converted into a mixed 0-1 linear programming by introducing variables.Then,a heuristic iterative algorithm is designed,in which the mixed 0-1 linear programming model is transformed into a series of small-scale models that contain less integer variables.In the experiment,the method in this paper is simulated and compared with balanced label propagation methods and their related methods.The improvement effect of these methods based on three different initialization methods is analyzed.Extensive numerical experiments on five commonly used datasets validate the effectiveness and efficiency of the proposed method.展开更多
In this paper, the problem of program performance scheduling with accepting strategy is studied. Considering the uncertainty of actual situation, the duration of a program is expressed as a bounded interval. Firstly, ...In this paper, the problem of program performance scheduling with accepting strategy is studied. Considering the uncertainty of actual situation, the duration of a program is expressed as a bounded interval. Firstly, we decide which programs are accepted. Secondly, the risk preference coefficient of the decision maker is introduced. Thirdly, the min-max robust optimization model of the uncertain program show scheduling is built to minimize the performance cost and determine the sequence of these programs. Based on the above model, an effective algorithm for the original problem is proposed. The computational experiment shows that the performance’s cost (revenue) will increase (decrease) with decision maker’s risk aversion.展开更多
The authoros specialize in the field of optunization and automatic programme oftrain working graph. In this peper, at frist, a mixed 0-1 integer progranimingmodel about this problem for duuble-track lines is set up, t...The authoros specialize in the field of optunization and automatic programme oftrain working graph. In this peper, at frist, a mixed 0-1 integer progranimingmodel about this problem for duuble-track lines is set up, then the principle andProcess of selution are stated, with an application exaiiiple put forward.展开更多
基金supported by the National Key Research and Development Program of China(No.2022YFA1003900).
文摘Graph partitioning problem is a classical NP-hard problem.The improvement of graph partitioning results by vertex migration is an important class of methods for graph partitioning.The goal of graph partitioning is getting a partition with the least number of cut edges,while also satisfying the capacity limit of the partition.In this paper,an optimization model for vertex migration is proposed,considering the influence between neighboring vertices,so that the objective function value of the model is exactly equal to the amount of cut edge variation.The model is converted into a mixed 0-1 linear programming by introducing variables.Then,a heuristic iterative algorithm is designed,in which the mixed 0-1 linear programming model is transformed into a series of small-scale models that contain less integer variables.In the experiment,the method in this paper is simulated and compared with balanced label propagation methods and their related methods.The improvement effect of these methods based on three different initialization methods is analyzed.Extensive numerical experiments on five commonly used datasets validate the effectiveness and efficiency of the proposed method.
文摘In this paper, the problem of program performance scheduling with accepting strategy is studied. Considering the uncertainty of actual situation, the duration of a program is expressed as a bounded interval. Firstly, we decide which programs are accepted. Secondly, the risk preference coefficient of the decision maker is introduced. Thirdly, the min-max robust optimization model of the uncertain program show scheduling is built to minimize the performance cost and determine the sequence of these programs. Based on the above model, an effective algorithm for the original problem is proposed. The computational experiment shows that the performance’s cost (revenue) will increase (decrease) with decision maker’s risk aversion.
文摘The authoros specialize in the field of optunization and automatic programme oftrain working graph. In this peper, at frist, a mixed 0-1 integer progranimingmodel about this problem for duuble-track lines is set up, then the principle andProcess of selution are stated, with an application exaiiiple put forward.
