摘要
原油调度问题是一类很难求解的非凸混合整数非线性规划问题。本文提出基于改进多参数解聚技术的全局优化算法,能在较短时间内求得上下界相对间距很小的解,求解结果的准确性及求解效率得到极大提高。
The crude oil scheduling problem is a class of nonconvex mixed-integer nonlinear programming（MINLP） problem that is notoriously difficult to solve in practice.A global optimization algorithm based on the improved multi-parametric disaggregation technique is proposed to obtain solutions with small gap between the upper bound and the lower bound in tolerable time limit,demonstrating its improvements on both accuracy and solution efficiency.
出处
《科技通报》
北大核心
2013年第2期42-44,47,共4页
Bulletin of Science and Technology
关键词
原油调度
数学规划
混合整数非线性规划
全局优化
多参数解聚
crude oil scheduling
mathematical programming
mixed-integer nonlinear
programming（MINLP）
global optimization
multi-parametric disaggregation
