Improvement Of CUCKOO Search And Application In Coal Mining Subsidence And Its Program Realization

The problem of optimization is to find a set of parameter values under certain constraints so that certain indicators of system performance achieve the minimum or maximum value.Currently,the optimization problem is mainly solved by two methods:the deterministic optimization method or the non-deterministic optimization method(random optimization method).Although the deterministic optimization method is very mature,the requirements for engineering conditions are very stringent,so the stochastic optimization method is developed rapidly.Among stochastic optimization methods,especially heuristic optimization methods are rapidly evolving.For the optimism problem,we need to find a more suitable algorithm to find its optimal value is the most critical.With the rapid development of today’s computer technology and a large number of optimization problems,various heuristic algorithms have been proposed,and have been successfully applied in many areas such as intelligent control,such as pattern recognition,biological information,wireless sensor networks,neural networks,power systems,etc.The greening search algorithm is a heuristic algorithm based on the parasitism of the turkey nest and Levi’s flying habits.The algorithm is simple in concept,has few parameters,is easy to implement and has fast computational speed.Has been successfully applied in many fields.This paper studies the global and local search patterns of culinary search algorithms.The main tasks are as follows:(1)This paper studies and discusses the principle and process of applying the dish research algorithm program.Aiming at the problem that the cause has the disadvantage of low local solution accuracy,this paper improves the algorithm and proposes a cube search algorithm with direction limitation.(2)Coal is now the main source of energy in China.After the mine,the rock layer produces hollow layers,which will cause the soil to settle and may cause a series of disasters such as damage to buildings.Particularly it is particularly important to predict deformity.This paper analyzes its principle and key parameters used in forecasting based on the probability integration method,which is the most widely used method in predicting surface landing in China.Based on this,an error function model is established.(3)Based on the error function model set according to the integral probability method and principle of the cuckoo search algorithm based on the direction constraints,this paper has written "Coal Subsidy Solution Software" using Visual Studio.The software provides users with two ways to solve the probability integration method parameters,i.e.,the Modal Loss Method and the Cuckoo Search Algorithm(based on direction constraint).(4)Based on the throttle parameters of the coal mines under general mining conditions,the simulation data were produced using the predicted result of the probability integration method as the true value,and the kitchen was verified by adding different amounts of random errors,gross errors,and deletion of some observation points The feasibility of the algorithm in solving the parameters of the probability integration method.