method for determining an optimal bridge maintenance technology combination under multiple diseases by using a genetic algorithm

The invention belongs to the field of bridge maintenance, and particularly relates to a method for determining an optimal bridge maintenance technology combination under multiple diseases by using a genetic algorithm. According to the technical scheme, the method comprises the following steps that (...

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Hauptverfasser: QI XIJING, LIAO RUOHAN, TANG LIANG, KANG WEIXIN
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creator QI XIJING
LIAO RUOHAN
TANG LIANG
KANG WEIXIN
description The invention belongs to the field of bridge maintenance, and particularly relates to a method for determining an optimal bridge maintenance technology combination under multiple diseases by using a genetic algorithm. According to the technical scheme, the method comprises the following steps that (1) determining maintenance technology list optimization indexes, wherein the maintenance technologylist optimization indexes comprise a cost index, a service life and an application index; (2) respectively carrying out data initial processing and normalization on the cost index, the adaptation index and the service life of the maintenance technology; (3) determining the weight value of each index by adopting a G1 method; (4) establishing a coefficient matrix of each index according to the normalized data; and (5) introducing a decision matrix, establishing a genetic algorithm multi-objective optimization model, and further determining an optimal maintenance technical list of the bridge under multiple diseases. The
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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
title method for determining an optimal bridge maintenance technology combination under multiple diseases by using a genetic algorithm
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