Intelligent scheduling of bauxite transportation network based on ant colony algorithm
Due to the complexity and dynamism of the bauxite transportation network,scheduling often results in high IDG values.To solve the above problems,a research on intelligent scheduling of bauxite transportation network based on ant colony algorithm is proposed.Establish an optimized scheduling model that comprehensively considers cost,time,and distance,accurately calculates transportation costs,travel time,and waiting time,and optimizes load capacity and travel distance to achieve optimal resource allocation.To ensure the feasibility of the scheduling plan,detailed constraints including load capacity,production capacity,and loading and unloading efficiency are formulated.Using ant colony algorithm,by simulating the efficient collaborative mechanism of ant colony foraging,the optimal scheduling scheme for bauxite transportation network is intelligently output.The experimental results show that the research method can maintain a low IDG value in various bauxite transportation network scheduling scenarios,effectively optimize transportation efficiency,and provide more accurate and efficient scheduling solutions for the transportation system.
Ant Colony AlgorithmBauxiteTransportation networkIntelligent schedulingOptimal scheduling plan
万方数据
维普
