The energy consumption is one of the important constrain in wireless sensor networks. The nodes can be failed when the sensor nodes are deployed in unpredictable environmental conditions due to the battery loss, in that situation it is difficult to change the battery. So it will be wise to use an appropriate routing algorithm for searching the better available path that consumes lesser energy and minimize the delay. The Energy Efficient Genetic Algorithm Routing reduces the size of the forwarder list by considering only the nodes that are most nearer to the destination. In the next process the list is arranged occurred on their distance from the destination, the highest priority node will act as the next relay node and that selected relay node is nearer to destination. It also routes the acknowledgement using the Genetic Algorithm routing this is done to balance the energy spend by the nodes for transmission and reception. It provides better results than many existing Genetic Algorithm routing protocols in terms of end-to-end delay and network lifetime.