Algoritmo de minimización restringida de la contaminación alrededor de zonas industriales

Abstract

Introduction- In this work large areas with sources of pollution emissions are considered, and in most cases they go far beyond industrial areas. Using modeling, monitoring or forecasting in the optimization algorithms, the pollution propagation parameters can be analyzed and ajusted with the negative impact of industrial areas.

Objective- The objective is to optimize the proposed model using three subsets (reformed without restrictions, with restrictions and not reformed) of pollution sources and their validation.

Methodology- For the minimization, the Nelder-Mead procedure of local classical optimization [1] was used, which by changing the pitch can find the extremes quite accurate and, in addition, serves for multi-parameter optimization.

Results- The results obtained allow: the choice of industrial zones size, the location of industries with conditional sources and without restrictions, optimization limits according to the number of iterations or according to the integral of the emissions and valuation of the economic consequences of the solution.

Conclusions- The mathematical model and algorithm are quite simple in their application and are open for more complexity.