When looking at the daily life flow and working sectors, it is seen that almost all work and transactions are carried out electronically. It performs many data streams in the electronic transactions performed. The importance of information security is exactly at this point. To ensure the security of the data, the journey of the data between the sender and the receiver is encrypted. In this study, a hybrid application that creates encrypted text using genetic algorithm and particle swarm algorithm has been developed. In the first step of the study, two separate keys were generated to encode the message using the genetic algorithm and particle swarm algorithm. Shannon Entropy method was used as a fitness function in both algorithms. The message was encrypted with the genetic algorithm method by choosing the key that obtained the best result from the compliance function. The encrypted message was decoded by applying a reverse genetic algorithm to the recipient. The encryptions made using the generated key were measured and the results of the AES algorithm were compared. In the proposed model, successful performances were obtained as the maximum switching space and encryption time for encryption. As a result, the proposed application offers an alternative method of data encryption and decryption that can be used for message transmission.