Air Pollution Control Simulation Based on Genetic Algorithm

Xiang Zhang, Dayong Zhang, Zhongping Wu


The computer-aided algorithm for a regional air pollution controlling plan is presented. The air pollution is modeled and analyzed with the use of genetic algorithm, and the total expenditure will be distributed rationally according to the result. The initial expenditure distribution is stochastic, with 50 generations of evolution, optimal result is obtained, thus offering an effective approach for regional air condition improvement and pollutants control.


genetic algorithms, air pollution control, expenditure function

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