One critical area of research in artificial intelligence (AI) is the creation of artificial superintelligence (ASI). Evolutionary algorithms (EAs) have the potential to accelerate the emergence of artificial superintelligence (ASI). This study, "Evolutionary Algorithms and the Future of Superintelligence: Tools and Technological Advancements," examines this possibility. Natural selection serves as the inspiration for EAs, which provide reliable techniques for optimizing complicated systems and facilitating the development of extremely complex AI models. The combination of EAs with advanced computational tools has led to significant advances in AI capabilities, particularly in areas requiring adaptive problem-solving and dynamic learning. This article analyses the most recent tools that make this integration possible, such as cutting-edge AI platforms, robust machine learning frameworks, and cutting-edge development environments. It also looks at current developments in neuro evolution, genetic programming, and multi-objective optimization, emphasizing how these fields have helped ASI evolve. The paper highlights the crucial role that evolutionary algorithms will play in influencing the direction of superintelligent AI in the future by offering a thorough overview of these technological developments. This will enable systems to self-improve and adjust to hitherto unseen opportunities and challenges.