Abstract
With the development of the optimization theory, some new intelligent algorithms have been rapidly developed and widely used, and these algorithms have become new methods to solve the traditional system identification problems, such as genetic algorithm, ant colony algorithm, particle swarm optimization algorithm, differential evolution algorithm. These optimization algorithms simulate natural phenomena and processes.
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© 2018 Tsinghua University Press, Beijing and Springer Nature Singapore Pte Ltd.
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Liu, J. (2018). Intelligent Search Algorithm Design. In: Intelligent Control Design and MATLAB Simulation. Springer, Singapore. https://doi.org/10.1007/978-981-10-5263-7_11
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DOI: https://doi.org/10.1007/978-981-10-5263-7_11
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