Multi-Objective Scheduling of Metering Material Supply Based on Improved Ant Colony Algorithm
To solve the problem of metering material scheduling,the demand and characteristics of power metering material supply are analyzed,and the characteristics of the links in the material supply process are explained.A multi-objective material scheduling model with material satisfaction and time cost as the goal is established,considering material balance constraints,supply point constraints,transfer point constraints,emergency demand point constraints,etc.Subjective and objective weighting methods are used to obtain com-prehensive weights,and the improved ant colony optimization method is used to solve the model.The simulation analysis using the IEEE33 node model shows that the material satisfaction and time satisfaction can be obtained by determining the transportation node and the supply process link,and the effectiveness of the proposed model and method is verified.
material measurementmulti-objective optimizationmaterial supplyimproved ant colony algorithm
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