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Abstract

Compared with the classical genetic algorithm, the improved genetic algorithm has more advantages and can achieve fast and accurate modeling in computer mathematical modeling. Therefore, this paper will introduce the basic concepts of the algorithm from the perspective of the classical genetic algorithm, and then put forward the defects of the classical algorithm, and improve the defects. After the algorithm is improved, computer mathematical modeling will be carried out using the improved algorithm. Through research, the improved genetic algorithm solves the defects of the classical algorithm and has higher efficiency, accuracy, and identification.

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Acknowledgements

Ministry of education industry university cooperation collaborative education project “Exploration and Practice on the improvement of innovation and entrepreneurship ability of ordinary undergraduate colleges and Universities Based on mathematical modeling training mode (No.: 202102022036)”.

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Correspondence to Shan Gao .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Han, Y., Liu, C., Gao, S. (2023). Computer Mathematical Modeling Based on Improved Genetic Algorithm. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022). CIPA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 155. Springer, Singapore. https://doi.org/10.1007/978-981-19-9373-2_67

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