Power transmission equipment optimization model selection method based on improved artificial fish swarm algorithm

The invention relates to a power transmission equipment optimization model selection method based on an improved artificial fish swarm algorithm, and the method comprises the following steps: S1, collecting the historical defect data of a power transmission line, and obtaining a probability distribution model of various types of part defects; S2, determining a value range of the data according tothe probability distribution model of the part defects and generating an initial population; S3, constructing a target function, taking the target function as a fitness value evaluation function, andselecting a dominant group; S4, according to the obtained initial population and dominant population, adopting an improved artificial fish swarm algorithm to optimize the model selection of the powertransmission equipment. Model selection of a power transmission line can be reasonably carried out, and it is guaranteed that electrical performance, mechanical performance and economical efficiency are considered at the same t