Optimum Redundancy Allocation of WTP and Comparative Analysis using SMO & PSO Techniques

Deepika Garg (Department of Mathematics, GD Goenka University, Gurugram, India)
Amrita Agrawal (Department of Mathematics, GD Goenka University, Gurugram, India)
Nayan Deep S. Kanwal (Arlington, Texas, United States of America)

International Journal of Organizational Business Excellence (IJOBEX)
Vol. 5 No. 1 (2022): June 2022

Constraint optimization Redundancy Allocation Problem (CoRAP) is a complex real world integer programming problem. Many researchers have used various techniques to solve CoRAP. Many complex problems are being solved by various evolutionary techniques, and among these Spider Monkey Optimization algorithms (SMOs) and Particle Swarm Optimization algorithms (PSOs), which focus on the behavior of monkeys and collective nature of birds in a swarm, are the most promising and recent interests of researchers. Therefore, in this article, SMO and PSO is tuned to solve the problem based on integer programming, CoRAP for Water Treatment Reverse Osmosis (RO) Plant (WTP) subject to cost constraint. The results obtained using SMO are compared with the results obtained by applying the same problem to the PSO algorithm. SMO and PSO are implemented using MATLAB. The findings demonstrate the better performance of SMO.