We propose intelligent deployment strategies for heterogeneous node deployment in wireless sensor networks. Placing the nodes in a wireless sensor networks is a difficult problem, so we use the genetic algorithm (GA) and particle swarm optimization (PSO) algorithm to find the optimal locations the heterogeneous nodes thereby increasing the network life time. The routing protocols used in this implementation are direct routing protocol and multi-hop routing protocol. After performing many experiments we found that the proposed methods increases the lifetime on average up to 150% of the initial lifetime. The objective function used by the models is the inverse of lifetime and we tracked lifetime and time taken to reach a solutions for comparing GA and PSO.