Research On Electric Power Material Distribution Route Based On Improved Drosophila Optimization Algorithm

With the economic globalization and the rapid update and reform of information technology,the production efficiency and operation mode of logistics industry have been greatly improved.Thereafter,the following logistics distribution has become an important part of the modern logistics industry.In addition,the electric power industry has investigated more about the electric power materials,and paid more attention on systematic and standardized optimization management.Therefore,power enterprises have new development opportunities and challenges in the optimization of power material distribution system.Electric power is the basic industry of national economy and the strategic focus of realizing national economic development.With the rapid development of China’s national economy,the society has increasingly strict the requirements on the power supply capacity and reliability of power enterprises.Scientific management of electric power supplies play a decisive role in accelerating capital flow and ensuring power supply.The distribution of route planning in electric power supplies is a key point in power construction,which directly affects the distribution cost of electric power supplies and thus affects the economic benefits and social image of electric power enterprises.Therefore,power enterprises should focus on the construction of power material distribution network deeply.In this paper,based on the combination of improved drosophila optimization algorithm and relevant theories of power enterprise logistics and distribution,we studies how to choose the distribution path of power enterprise materials and whether the choice of distribution path is reasonable.In addition,the speed of logistics and distribution,the improvement of service quality,the reduction of distribution cost and the improvement of economic benefits have obvious effects.Among them,in view of the characteristics in the process of logistics distribution,this paper puts forward an adaptive chaotic disturbance flies optimization algorithm(ACD-FOA),introduced by the self-adaptive chaotic algorithm Which could optimize algorithm in a state of convergence for global optimization,and jump out of local optimum and further optimization.It can overcome some be overcome to some extent flies optimization algorithm easy to fall into local faults in the solving process,the convergence speed,reliability and optimization on the accuracy of optimization algorithm,which is much better than the pure flies algorithm.Finally,the simulation results show that the adaptive chaotic drosophila optimization algorithm has better global optimization ability,fast convergence speed,high optimization accuracy,and can quickly find the optimal logistics distribution path,as a result,effectively reduce the cost of logistics distribution.The innovation of this article is based on adaptive chaotic disturbance optimization algorithm combined with traditional flies,and through the instance simulation test,the results prove that this algorithm can overcome overcomes the traditional algorithms of flies into the local optimum,increase the convergence speed and accuracy,improve the optimization ability of the algorithm,better distribution path,reduced resource consumption.Foremost,the result has the feasibility and practicability.