Research On The Material Warehouse Location Of Power Supply Bureau Based On Improved Genetic Algorithm

With the rapidly development of economy and Chinese city power grid construction,and electricity consumption turns out a rising trend.For the entire urban power grid planning research,the number of power grid facilities and location selection is an important prerequisite for the development of power grid construction.To ensure the safety of warehousing,to reduce the consumption of idle materials,for the best management of materials to achieve the needs of the user on demand,to ensure the smooth production of the project and the life of realization,that is very important.Power grid material flow is part of the logistics,the flow of goods throughout the entire logistics network.The planning of logistics network belongs to the strategic layer of logistics system optimization design,among which,the location of material warehouse is a very important link.Power grid company to carry out modern material management,make material to meet the distribution of time is a very important step to build a suitable material storage and distribution system.But the current grid company's warehouse construction and layout exist many unreasonable points,without scientific planning.This article is based on a wide range of field research,studing the main problems of material warehouse layout of power supply bureau,in view of the grid company warehouse location problem,taking Kunming Power Supply Bureau as the research object,to achieve its location study,and ultimately to optimize the existing warehouse network layout purposes.Genetic algorithm is a kind of widely used and effective random search and optimization algorithm based on the idea of natural biological evolution.Its biggest feature is the population search strategy and in the population of each individual will occur information transformation,search is not relevant to gradient information.In this paper,based on the improvement of the basic genetic algorithm,the improved genetic algorithm is used to optimize the location problem of the power supply warehouse,and the solution is based on the actual model.Compared with the conventional mathematical programming method,it is easier to use improved genetic algorithms by the actual application situation.While the operation of the operation speed has also been improved,especially for some large-scale,complex issues to deal with,the effect is more prominent.Therefore,we use improved genetic algorithm to deal with the subject of this paper,search the optimal solution for efficiency,to solve the power supply station material warehouse location.