We describe a new active-set, cutting-plane Constraint Optimal Selection Technique (COST) for solving general linear programming problems. We describe strategies to bound the initial problem and simultaneously add multiple constraints. We give an interpretation of the new COST’s selection rule, which considers both the depth of constraints as well as their angles from the objective function. We provide computational comparisons of the COST with existing linear programming algorithms, including other COSTs in the literature, for some large-scale problems. Finally, we discuss conclusions and future research.
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机译:The study of a fuzzy set theory for the selection of an optimum coal transportation system from pit to the power plant <中文篇名〉=矿坑至电厂最佳煤炭运输系统选择的模糊理论 研究