Abstract
This paper introduces the principle and characteristics of genetic algorithm, and expounds the main functions and functions of the genetic algorithm toolbox used by the author. Through the simulation test of complex nonlinear and multi-peak function in MATLAB environment, the basic steps and calculation process of the genetic algorithm are explained in detail, and the efficiency and flexibility of the genetic algorithm in the global optimization problem are proved by examples.
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Li, Y., Yu, B., Li, X., Luo, S., Li, H. (2020). Application and Realization of Genetic Algorithm Based on MATLAB Environment. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_130
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DOI: https://doi.org/10.1007/978-3-030-15235-2_130
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