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9 February 2024 Optimization design of absorbing materials based on improved genetic algorithm
Haotian Zhou, Lan Lu, Xin Sun
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Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 1307313 (2024) https://doi.org/10.1117/12.3026306
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Haotian Zhou, Lan Lu, and Xin Sun "Optimization design of absorbing materials based on improved genetic algorithm", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 1307313 (9 February 2024); https://doi.org/10.1117/12.3026306
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KEYWORDS
Genetic algorithms
Design
Reflectivity
Mathematical optimization
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