Water management using genetic algorithm-based machine learning
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METHODOLOGIES AND APPLICATION
Water management using genetic algorithm-based machine learning S. G. Gino Sophia1 • V. Ceronmani Sharmila1 • S. Suchitra1 • T. Sudalai Muthu1 • B. Pavithra1
Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Water scarcity is the major problem presently being faced globally; it is to be managed in an efficient manner. The water management procedure is one of the techniques to condense necessary water. The objective of water management system is that water supply agency to collect, distribute quality water without any delay and scarcity. An intelligent system is necessary for efficient production, collection and distribution. The proposed intelligent system consists of genetic operations with fitness value and neural network for training. The fitness function is used to make new intelligent members from existing population of water resources for water collection and distribution. The system is applicable for prediction about water consumption, distribution using decision-making algorithms to increase optimization performance by calculation of objective function of various population types. The regression performance of proposed intelligent system is calculated and compared with other algorithms. Keywords Fitness function Objective function Decision-making system Prediction system
1 Introduction Water is colorless, clear chemical substance and molecule of two hydrogen atoms and one oxygen atom, H2O. Natural resource for the benefit of human beings, animals, plants, grass and everybody, major contributors to the welfare and health of human beings. Water take oxygen from lungs and share out to all other parts of the body, 60% of human body is covered by water and normalized body temperature. The 71% of earth is enclosed by water in oceans and 1.7% of ground water. The United Nations Educational, Scientific And Cultural Organization (Unesco), United Nations Communicated by V. Loia. & S. G. Gino Sophia [email protected] V. Ceronmani Sharmila [email protected] S. Suchitra [email protected] T. Sudalai Muthu [email protected] B. Pavithra [email protected] 1
Hindustan Institute of Technology and Science, Chennai, India
World Water Assessment Programme (Wwap) (2012) suggested that water scarcity or excess of water is one of biggest challenging problems facing by entire world, mainly due to abnormal weather conditions or climate changes by changing of carbon cycle, migration to town or city, improving living standards, shortage of ground water, leakage of pipes, no rules for supplying of water or distribution, becomes worsening human life today. The water insufficiency problem is affecting all the countries, 1.2 billion people are living in aphysical scarcity level and 1.6 billion people are in economic insufficient level. The economic scarcity mainly for counties that are lacking in necessary steps for water infrastructure facility is reported by UN (2019). The UN
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