Reliability-redundancy allocation problem of pharmaceutical plant

The reliability design is related to the performance analysis of engineering systems. the reliability - redundancy optimization problems involve selection of components with multiple choices and redundancy levels that produce maximum benefits,can be subject to the cost,weight,volume and reliability constraints. classical mathematical methods fail in handling non-convexities and non-smoothness in optimization problems. this drawback has been removed through meta-heuristics due to their ability of finding an almost global optimal solution in reliability-redundancy optimization problems. particle swarm optimization (pso) is one of such meta-heuristic algorithm. an efficient penalty based pso algorithm has been proposed in this paper for reliability-redundancy optimization problems. this paper aims to present an application of the pso algorithm for searching the optimal solution of reliability-redundancy allocation problems with nonlinear resource constraints of a pharmaceutical plant. © school of engineering,taylor's university.