Author/Authors :
Jusoh, Mohd Ismail MARA-Japan Industrial Institute Berang - Department of Electronic Engineering, Malaysia , Abiodun, Folorunso Taliha Federal University of Technology Minna - Department of Computer Engineering, Nigeria , Ismail, Fatimah Sham Universiti Teknologi Malaysia (UTM) - Center for Artificial Intelligence and Robotics (CAIRO), Malaysia , Shafie, Sohailah Universiti Teknologi Malaysia (UTM) - Center for Artificial Intelligence and Robotics (CAIRO), Malaysia
Abstract :
Generally, high operational cost is associated with all water supply system. This is as a result of the high amount of electric energy consumption ascribed to the system due to its components. The water supply system of the Mara-Japan Industrial Institute (MJII), Beranang, Selangor is one of such system that suffers this challenge of high operational cost. In this paper we have applied the use of an Adaptive Weighted Sum Genetic Algorithm to optimize the system operations such that it minimizes the high energy consumption as well as ensuring the overall reliability of the water level in the reservoir. The results obtained from the optimized model of the system show a promising and a significant reduction to the tune of 34.97% in the amount of energy consumed as compared with that of normal operations.
