ImprovEvolve：请求 AlphaEvolve 改进输入解决方案并进行即兴创作

ImprovEvolve is a simple yet effective technique designed to enhance LLM-based evolutionary approaches, particularly AlphaEvolve. This method proposes an alternative program parameterization for optimization problems that maintains the ability to construct optimal solutions while reducing the cognitive load on the LLM. Specifically, ImprovEvolve evolves programs (such as Python classes with a prescribed interface) that can produce solutions close to the optimum when executed. This approach not only improves the efficiency of evolutionary computation but also provides new insights for solving complex optimization problems. By alleviating the cognitive burden on the LLM, ImprovEvolve aims to enable more efficient solution generation across various domains.