Particle swarm optimization for constrained cost reliability of rubber plant

Nature-inspired algorithm has become one of the most applicable technique in the literature to solve real-world optimization which is one of the popular and efficient optimization methods. Here, PSO is extended for solving cost-constrained reliability optimization of rubber plant problem. Optimum reliability of rubber plant and number of redundant components in plant for cost constraint are obtained using PSO. The description, objective function and their constraints for undertaken problem are analyzed.