Size Optimization of Coal Pillar in Working Face Area Based on Genetic and White Crown Chicken Hybrid Optimization Algorithm

The traditional theoretical calculation method of coal pillar width in section is difficult to meet the accuracy requirement of thick soft overlying rock face. In this paper, based on the problem of coal pillar width calculation in the abstract section of the thick soft overlying rock face, a hybrid optimization algorithm of genetic and white-crowned chicken is proposed. The selection, crossover and mutation operators of genetic algorithm are added to the original optimization algorithm. The results show that the genetic and white-capped hybrid optimization algorithm has high universality and accuracy in calculating the width of coal pillar in the working face of thick and soft overlying rock, and its relative error is reduced by 42.9%,8.6% and 3.6% compared with the theoretical calculation, genetic algorithm and white-capped optimization algorithm, respectively, which has certain guiding significance for the selection of coal pillar width in the working face of thick and soft overlying rock.