This research paper investigates the integration of cryptographic algorithms into mathematical optimization techniques. The aim is to explore the application of crypto algorithms in enhancing the efficiency and security of mathematical optimization procedures. The paper provides an overview of both cryptography and optimization algorithms, discussing their integration and presenting experimental results to demonstrate their potential benefits. The findings reveal improved optimization performance and increased security when utilizing crypto algorithms in mathematical optimization. The paper highlights the significance of this integration in modern optimization techniques and offers insights into the future possibilities of integrating cryptography into mathematical optimization frameworks.

Cryptographic algorithms, Mathematical optimization, Efficiency