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Optimized Equilibrium Attention of Impure and Pure Agents between High Concentrated Particles and Low Concentrated Particles in Reverse Osmosis Using the Principles of Genetic Algorithm


Affiliations
1 Department of Computer Applications, Prestige Institute of Management, Opp. Deen Dayal Nagar,Airport Road, Gwalior - 474 020, India
2 Department of Computer Applications, IITM, Sitholi Road, Gwalior, India
 

Drinking water is known as another life for any living being. For rest of the animal they have the natural separators to separate the pollutant and the safe material, but for human it is not so. Safe drinking water is a big problem area in Indian and other developing countries. Due to massive pollution present in drinking water, it becomes immensely important to find a cost effective solution for the safe drinking water. Various Public water treatment plants are doing well in this task but there is a huge gap between the demand and supply. Even if the water underwent through treatment, it is always questionable whether it is safe to drink or not. Various private sector jumps in the market claiming to give safe and soft drinking water. Some private players are doing well but cost still plays a big factor to reach common person. The present paper is an attempt to propose a novel model to clean the dirty water with some constraints in a specified domain.

Keywords

Drinking Water, Osmosis, Genetic Algorithm.
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  • Optimized Equilibrium Attention of Impure and Pure Agents between High Concentrated Particles and Low Concentrated Particles in Reverse Osmosis Using the Principles of Genetic Algorithm

Abstract Views: 231  |  PDF Views: 0

Authors

Saurabh Mukherjee
Department of Computer Applications, Prestige Institute of Management, Opp. Deen Dayal Nagar,Airport Road, Gwalior - 474 020, India
Nitin Paharia
Department of Computer Applications, Prestige Institute of Management, Opp. Deen Dayal Nagar,Airport Road, Gwalior - 474 020, India
Ritu Tiwari
Department of Computer Applications, IITM, Sitholi Road, Gwalior, India

Abstract


Drinking water is known as another life for any living being. For rest of the animal they have the natural separators to separate the pollutant and the safe material, but for human it is not so. Safe drinking water is a big problem area in Indian and other developing countries. Due to massive pollution present in drinking water, it becomes immensely important to find a cost effective solution for the safe drinking water. Various Public water treatment plants are doing well in this task but there is a huge gap between the demand and supply. Even if the water underwent through treatment, it is always questionable whether it is safe to drink or not. Various private sector jumps in the market claiming to give safe and soft drinking water. Some private players are doing well but cost still plays a big factor to reach common person. The present paper is an attempt to propose a novel model to clean the dirty water with some constraints in a specified domain.

Keywords


Drinking Water, Osmosis, Genetic Algorithm.