Research on ontology model of power large-scale emergency material man-agement and control based on Chaotic Particle Swarm Optimization Algo-rithm
In response to the problem of low richness and interpretability of evaluation index re-lationships,which cannot meet the ontology modeling requirements of the control field,a chaot-ic particle swarm optimization algorithm based ontology model for large-scale emergency mate-rial control in the power industry is proposed.Using chaotic particle swarm optimization algo-rithm,design a set of mapped entity pairs.By evaluating fitness and sparsity,update particle po-sitions and determine whether to stop iteration.Calculate the optimal mapping result and use global DEA to evaluate whether the model meets the requirements.The experimental results in-dicate that,taking into account the richness and interpretability indicators of relationships,the re-search model performs relatively well overall.
chaotic algorithmparticle swarm optimizationpower emergency materialsmaterial control fieldontology modelontology mapping
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