Pheromone-Based Ant Colony Algorithm for Optimal Proliferation of Research

Abstract

In order to realize the water-saving irrigation of field plots path pipeline deployment management and control, the pheromone of ant colony algorithm for optimization design of. Ant colony algorithm (ACA) is a kind of Bionic Engineering with the development of the optimization algorithm, is mainly based on ant foraging in the search for the shortest path model and form. This article attempts in the existing ant colony algorithm combinatorial optimization of real defect on the basis of field plots, to coordinate as a data source, An improved ant colony algorithm for field plots wiring path design, thereby improving the ant colony algorithm in an iterative process to update the optimal solution ability, Finally in the same number of iterations to find path shorter, cost less rules, solve agricultural water-saving irrigation pipeline path optimization deployment problem. And in the VC++ program validation path optimization problems. The test results show that, under the same climatic conditions, route optimization design results can be deployed for water saving irrigation pipeline layout management provides reference basis and data support.