A heavy haul railway loading area traffic flow organization optimization method based on an immune clone algorithm

• Main Authors: LIU YINGKE, JING YUN, GUO SIYE
• Format: Patent
• Language: Chinese; English
• Published: 04.06.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a heavy haul railway loading area traffic flow organization optimization method based on an immune clone algorithm. The method comprises the following steps: analyzing organization characteristics of empty and heavy traffic flows of a semi-closed heavy haul railway loading area, and establishing a comprehensive optimization model of the empty and heavy traffic flows of a heavy haul railway loading area system by taking the minimum residence time of empty and heavy vehicles in the loading area as a target; Establishing a one-dimensional vector representing a coding schemeof the vehicle flow in the loading area by utilizing variables involved in the operation process of the vehicle flow in the loading area; taking a one-dimensional vector and an objective function ofa comprehensive optimization model as antibodies, taking constraint conditions in the comprehensive optimization model as antigens, constructing an affinity expression mode based on information entropy by utilizing an immune c