Study On Reliability Optimization Of Coal Mine Production System Based On Search Algorithm

As the frequent occurrence of coal mine safety accidents in recent years, the coal mine production systems requires a higher reliability from design to production management phase.With the development of coal science and technology and equipment updating, as well as the elevation of coal mine production concentration and mechanization, reliability of its production system also must increase accordingly. Generally speaking, reliability of the system improves when production cost increases. Therefore, how to increase reliability of coal mine production system as high as possible, while reducing production cost as much as possible is the problem that must be taken into account for the reliability optimization of coal mine production system.On condition that achieving the goal of reliability reform, the goal of reliability optimization of coal mine production system is to reduce reform cost as much as possible and optimize production system maximally. As the production system is relatively complex, which has more subsystems, traditional optimization methods have difficulties in solving such problems, even can not be solved. To this problem, people propose a class of biological intelligence optimization algorithm that simulates the behavior or process of natural biological systems, providing new ideas and means for such problems.This paper summarizes and analyzes reliability optimization problems of coal mine production system, establishes reliability optimization model based on reliability optimization theory. This paper studies the application of Genetic Algorithms, Predatory Search Algorithm and Ant Colony Algorithm in virtual coal mine production system in a virtual scene, carries out reliability optimization calculation, and gets an approximate optimal solution. At last, a comparison is made with these three kinds of search algorithms. The research results herein have certain theoretical significance and reference value for study on reliability optimization of coal mine production system based on search algorithm.