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Access to potable water for the common people is one of the most challenging tasks in the present era. Contamination of drinking water has become a serious problem due to various anthropogenic and geogenic events. The paper demonstrates the application of evolutionary algorithms, viz., particle swan optimization and genetic algorithm to 24 water samples containing eight different heavy metal ions...
The water quality analysis has been an intriguing subject in the recent years because of the issues related to water resources. The work presents the application of the genetic algorithm to water samples containing contaminants for the optimal selection of electrode and the corresponding frequency for the better classification of various contaminants. We have used 24 water samples containing 8 different...
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