Optimization design of absorbing materials based on improved genetic algorithm

Genetic Algorithms are an important method for optimizing composite materials. While using them Genetic Algorithms the optimization design of composite materials, a significant problem arises where material types may not be directly mapped to binary encodings. In this paper, we propose a natural number-binary hybrid encoding to overcome this issue, improving generality. Furthermore, one of the major drawbacks of Genetic Algorithms is premature convergence. This paper suggests a method to escape local optima by utilizing variable mutation rates to address premature convergence.