Reliability redundancy allocation for water  quality monitoring  system using hybrid PSO-GWO

Ashok Singh Bhandari; Akshay Kumar; Mangey Ram

Ashok Singh Bhandari Department of Mathematics Graphic Era Hill University, Uttarakhand, India.\\; Department of Mathematics, Graphic Era Deemed to be University, Uttarakhand, India.
Akshay Kumar Department of Mathematics Graphic Era Hill University, Uttarakhand, India.
Mangey Ram Department of Mathematics, Graphic Era Deemed to be University, Uttarakhand, India.; Institute of Advanced Manufacturing Technologies, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, Russia.

Abstract

Reliability Redundancy Allocation Problem (RRAP) in reliability improvement and designing of a structure has a very crucial role. System reliability depends on arrangement of components, reliability allocation for the components, redundancy allocation for the components. This work proposes a Water Quality Monitoring System (WQMS) for RRAP. To solve the non-linear mixed integer RRAP, a powerful metaheuristic named Hybrid PSO-GWO (HPSGWO) is implemented. The HPSGWO is a fusion of the Particle Swarm Optimization (PSO) that has a great exploitation ability with the grey wolf optimizer (GWO) that has strong exploration ability. The mathematical modelling is solved by HPSGWO, PSO, and GWO to evaluate the maximum achievable reliability for WQM. The supremacy of HPSGWO over GWO is shown by the comparison of outcomes of RRAP.