A study on explaining underground pipeline data by improved evolutionary algorithm

摘要

There are three possible situations that we will arise in detecting the underground pipeline. First, the pipes are dense and parallel; the second, the piles are laid in a slope; the third, we can't make sure that the magnetic dipole is horizontal or slope when magnetic dipole tracer method are used to detect nonmetal-pipeline. Under those conditions, the pipeline data can't be explained correctly or even would get wrong conclusion. Evolutionary algorithm is a highly efficiency method because it only has crossover operator and eliminate the worst. In the paper, The improved Evolutionary Algorithm (CGT) based on the Guo Tao method is used to inverse the pipeline's parameters under the three conditions and is proved to be effective and superior.