Journal of Terahertz Science and Electronic Information Technology , Volume. 21, Issue 5, 671(2023)
A new adaptive genetic algorithm based on population diversity
References(4)
[1] [1] HOLLAND J H. Adaptation in natural and artificial systems[M]. Cambridge:MIT Press, 1975.
[4] [4] CACHON A,VAZQUEZ R A. Tuning the parameters of an integrate and fire neuron via a genetic algorithm for solving pattern recognition problems[J]. Neurocomputing, 2015,148(3):155-161.
[6] [6] LIU Fei, LIANG Shan, XIAN Xiaodong. Optimal robot path planning for multiple goals visiting based on tailored genetic algorithm[J]. International Journal of Computational Intelligence Systems, 2014,7(6):1109-1122.
[8] [8] SRINIVAS M,PATNAIK L M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Transactions on Systems,Man,and Cybernetics, 1994,24(4):656-667.
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WANG Jiannan, CUI Yinghua. A new adaptive genetic algorithm based on population diversity[J]. Journal of Terahertz Science and Electronic Information Technology , 2023, 21(5): 671
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Received: Oct. 20, 2020
Accepted: --
Published Online: Jan. 17, 2024
The Author Email: Jiannan WANG (wang_jiannan1005@163.com)
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