Key data processing method based on hybrid intelligent optimization algorithm for full link of power transmission and transformation project
HE Lin
HUANG Bo
SHEN Yabo
LI Shuang
Abstract：In order to improve the quality and efficiency of data management for the full link of power transmission and transformation project,a key data processing method based on hybrid intelligent optimization algorithm for the full link of power transmission and transformation project was proposed.The cost data management was taken as the core,the engineering cost control assessment model using hierarchical analysis was established,and cost assessment indexes and index weights were obtained.Meanwhile,an improved random neighborhood embedding algorithm was designed to realize data dimensionality reduction,and an adaptively improved whale optimization algorithm and a particle swarm algorithm were introduced.Under the framework of crossover strategy,two algorithms were combined to formulate a hybrid whale particle swarm optimization algorithm.The experimental results show that the as-proposed method is better for the key data processing of the full link of transmission and transformation project,and its accuracy and efficiency have significant advantages over other methods and can improve the data management level.
Keywords：transmission and transformation projectfull linkhybrid whale particle swarm optimization algorithmrandom neighbourhood embedding algorithmengineering costkey datacrossover strategydata managementhierarchical analysis method
Publication Date：2024-05-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 263-269 )