Optimization of Complex System Reliability using Hybrid Grey Wolf Optimizer

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), Genetic Algorithm (GA), Grey wolf optimization technique (GWO) etc. been used recent years. paper proposes framework for implementing hybrid PSO-GWO algorithm solving some and problems. comparison results obtained done with other well-known methods PSO, GWO, The supremacy/competitiveness proposed demonstrated numerical experiments. These regard time taken computation quality solution outperform previously by methods.