摘要
通过模型对混合的0-1线性规划问题进行求解,并通过具体的实例与传统的排序法、隐枚举法等进行对比,相比较于传统方法只能处理数据较少的整数的简单运算,优化的模型则能够对于计算量繁多且带有小数的数据进行有效且快速的运算处理。文中的模型简单便捷,融合性很高,只需输入相应数据,即可进行优化。
Based on the model of mixed 0-1 linear programming problem to solve, and through the concrete instance and traditional sorting method, the implicit enumeration method, compared with the traditional method simple operation, less data can only handle integer optimization model is able to for the amount of calculation is various with decimal data processing and effectively and quickly. The model in this paper is simple, convenient and highly fusion, and only needs to input corresponding data to optimize.
作者
刘尚一
吴涛
Liu Shangyi;Wu Tao(School of Water Resources and Electric Power,Heilongjiang University,Harbin,China;School of Civil Engineering,Heilongjiang University,Harbin,China)
出处
《科学技术创新》
2023年第1期92-95,共4页
Scientific and Technological Innovation
关键词
0-1线性规划
模型
优化
0-1 linear programming
model
optimization
作者简介
刘尚一(1997-),男,硕士,研究方向:项目管理及进度优化。
