This paper addresses the problem of availability optimization of a parallel-series system by using evolutionary techniques. Five techniques are considered, namely the cuckoo optimization algorithm, particle swarm optimization, flower pollination algorithm, differential evolution, and genetic algorithms. The integer values and constraints of cost are handled. The results regarding a system with ten subsystems are compared. It demonstrates that the cuckoo optimization algorithm performs best.