Air Pollution Control in the Phase 3 of South Pars in area of Chaleh Soor Based on Genetic Algorithm

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

MIEACONF02_016

تاریخ نمایه سازی: 26 تیر 1398

Abstract:

Today, air pollution in human life is an integral part and due to the increase in the use of energy and population growth and rapid development and industrialization, air pollution problems are inevitable in many countries of the world and pollution problems is one of the sources that threatens human, animal and plant health. The main purpose of this study is to reduce the pollution in Phase 3 of South Pars in area of Chaleh Soor using genetic algorithm. Genetic algorithm is an algorithm for optimization and search which is based on the principles of genetic science and natural selection. The results of the MATLAB software show that according to these results, we achieved the goal of the research. It can also be concluded from the results that the genetic algorithm plays an important role in improving the control and prediction of air pollution. Based on the results obtained from the research, the air pollution can be predicted and controlled.

Keywords:

Air Pollution , Genetic Algorithm , Air Pollution Control and Prediction , South Pars Phase 3

Authors

Ali Mohammadi

M.A student in industrial engineering, Payam Noor University, Tehran, Iran

Freydon Jariri

Ph.D. in Industrial Engineering, Operations Research, Payame Noor University, Tehran, Iran

Rouzbeh Azizmohammadi

Ph.D. in Industrial Engineering, Payame Noor University, Tehran, Iran