Reliability redundancy allocation for hybrid electric vehicle using hybrid particle swarm Grey Wolf optimizer
Abstract
Reliability Redundancy Allocation Problem (RRAP) plays a very major role in reliability improvement and designing of any structure which depends on arrangement of components, reliability allocation for the components, redundancy allocation for the components. In this work, a hybrid electric vehicle (HEV) is considered for RRAP. The non-linear mixed integer programming problem is optimized using the metaheuristic named HPSGWO. The HPSGWO fuses the Particle Swarm Optimization’s (PSO) exploitation ability with the grey wolf optimizer’s (GWO) exploration ability. The mathematical model calculates the maximum achievable reliability for HEV, by the implementation of the HPSGWO while the volume and weight are set as per the available resources.