A Dynamical Study on Probabilistic Cellular Automata Related to Whale Optimization Algorithm over Time Series Alignment Problems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56943-2_13
Reference19 articles.
1. Liang, B., Han, S., Li, W., Huang, G., He, R.: Spatial-temporal alignment of time series with different sampling rates based on cellular multi-objective whale optimization. Inf. Process. Manag. 60(1), 103123 (2023)
2. Chen, Y., Lin, X., Yi, W.: Block workshop spatial scheduling based on cellular automata modelling and optimization. IET Collab. Intell. Manuf. 5(1), e12075 (2023)
3. Zhang, P., et al.: Exploring the response of ecosystem service value to land use changes under multiple scenarios coupling a mixed-cell cellular automata model and system dynamics model in Xi’an. China. Ecol. Indicators 147, 110009 (2023)
4. Ou, D., et al.: Ecological spatial intensive use optimization modeling with framework of cellular automata for coordinating ecological protection and economic development. Sci. Total Environ. 857, 159319 (2023)
5. Wanna, P., Wongthanavasu, S.: An efficient cellular automata-based classifier with variance decision table. Appl. Sci. 13(7), 4346 (2023)
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