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