Analysis of Water Application Planning (WAP) Model Using Modified Genetic Algorithm (GA)

Sule Argungu Abdullahi, Al-Amin Danladi Bello, Umar Alfa Abubakar

Abstract


The water application planning (WAP) model is designed to minimise the amount of water used by industries using water reuse, recycling, and regeneration (for both reuse and recycling). The design of WAP becomes a complex task when multiple contaminants are treated in the same plant with the   use of multiple regeneration units. The modelling approach used was based on the concept of superstructure. The Genetic Algorithm (GA) which is an adaptive meta-heuristic search algorithm premised on the evolutionary ideas of natural selection and genetics, was used to find the solution to the modelled WAP problem. In order to increase the efficiency in obtaining the solutions of the model, the hybrid function was added to the GA, and the results obtained were compared with and without hybrid function. The behaviour of GA in solving WAP problems (with and without hybrid function) and the computing time to obtain the WAP model results was determined. The results show that there is a high efficiency in using the GA for solving the WAP problems (to minimise the total water consumption of the industrial processes). The GA produces results of the WAP problem in a short time of 3.4 to 10.1 seconds for the 2 to 10 industrial processes using a population size of 10 and 90% of the trial time, the optimum results were achieved.


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