In the dynamic landscape of modern network systems, achieving optimal performance and robustness is imperative. This paper introduces a novel approach to address network weaknesses by leveraging evolutionary algorithms. Through an in-depth exploration of genetic algorithms, particle swarm optimization, and other evolutionary techniques, this research provides a comprehensive framework for optimizing network unbalances. By harmonizing network vulnerabilities, we aim to enhance network resilience and efficiency. The results demonstrate the effectiveness of our approach in achieving improved network performance and security.