一种多目标的“多供点-多需点”砂石骨料料源优选算法  

Algorithm for Selection Optimization of Aggregate Sources for“Multi-supply Points-Multi-demand Points”with Multi-objectives

作　　者：李勇 宋立新 LI Yong;SONG Lixin(PowerChina Zhongnan Engineering Corporation Limited,Changsha 410014,Hunan,China)

机构地区：[1]中国电建集团中南勘测设计研究院有限公司,湖南长沙410014

出　　处：《水力发电》2023年第6期72-76,共5页Water Power

基　　金：湖南省创新型省份建设专项经费资助(2019GK1010)。

摘　　要：大型水利水电工程砂石骨料料源种类和数量多、分布广,品质差异较大;不同建(构)筑物对砂石骨料的粒度组成、品质的要求不同。为解决大型工程项目设计、实施时的砂石骨料多目标下的“多供点-多需点”的供需平衡问题,提出了一种基于非线性规划和模糊评价方法的料源优选方法。根据不同的场合、条件准备若干个“多供点-多需点”规划方案,采用非线性规划算法求解每一种规划方案的环境评价、开采难度评价、弃料比例、安全性评价、成本等5个要素的数值。最后采用模糊综合评价方法对多个方案规划结果的5个要素进行综合评估,得到既满足“多供点-多需点”要求,又综合考虑多个评价指标的较优方案。结果表明,“多供点-多需点”的砂石骨料算法准确度较好,计算效率较高,相对于已有的动态规划等算法,规划结果更全面。The available aggregate sources for large-scale water conservancy and hydropower projects are always diversified in their classifications and reserves,and distributed in a decentralized pattern with great quality difference.Different buildings(structures)of hydropower projects have different requirements on particle size composition and quality of aggregates.In order to balance the supply and demand of aggregates of“multi-supply points-multi-demand points”with multi-objectives in design and implementation of large-scale water conservancy and hydropower projects,a aggregate source optimization method based on nonlinear programming and fuzzy evaluation method is presented.Several“multi-supply points-multi-demand points”programming schemes are firstly prepared according to different circumstances and conditions,and then,the nonlinear programming algorithm is used to solve the values of five elements of each planning scheme,i.e.environmental evaluation,exploitation difficulty evaluation,spoil material volume,safety assessment and cost.Finally,the fuzzy comprehensive evaluation method is used to comprehensively evaluate the five indicators of each programming scheme,and the scheme that meets the demands of“multi-supply points-multi-demand points”and comprehensively considers multiple evaluation indicators is obtained.The case calculation results show that the proposed algorithm of“multi-supply points-multi-demand points”has good accuracy and high computational efficiency,and the planning results are more comprehensive compared with existing dynamic programming algorithms.

关 键 词：骨料料源 料源优选 方案 模糊评价 多目标规划 非线性规划 线性规划 水利水电工程 

分 类 号：TU443[建筑科学—岩土工程]