29 citations as recorded by crossref.

1. Echo Frequency Estimation Technology for Passive Surface Acoustic Wave Resonant Sensors Based on a Genetic Algorithm Y. Wu et al.
2. Positive- and negative-feedback regulations coordinate the dynamic behavior of the Ras-Raf-MEK-ERK signal transduction pathway S. Shin et al.
3. Optimization of snow-related parameters in the Noah land surface model (v3.4.1) using a micro-genetic algorithm (v1.7a) S. Lim et al.
4. Parameter estimations of a storm surge model using a genetic algorithm S. You et al.
5. Parameterization and application of storm surge/tide modeling using a genetic algorithm for typhoon periods S. You et al.
6. A micro-genetic algorithm (GA v1.7.1a) for combinatorial optimization of physics parameterizations in the Weather Research and Forecasting model (v4.0.3) for quantitative precipitation forecast in Korea S. Park & S. Park
7. Climate change over the high-mountain versus plain areas: Effects on the land surface hydrologic budget in the Alpine area and northern Italy C. Cassardo et al.
8. Modeling Chaotic Behavior of Chittagong Stock Indices S. Banik et al.
9. Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data S. Park et al.
10. Parameterization of a coupled CO2 and H2O gas exchange model at the leaf scale of Populus euphratica G. Zhu et al.
11. Combinational Optimization of the WRF Physical Parameterization Schemes to Improve Numerical Sea Breeze Prediction Using Micro-Genetic Algorithm J. Yoon et al.
12. Improving the Asian dust storm prediction using WRF-Chem through combinational optimization of physical parameterization schemes J. Yoon et al.
13. Improvement of typhoon rainfall prediction based on optimization of the Kain-Fritsch convection parameterization scheme using a micro-genetic algorithm J. Zhu et al.
14. Uncertainty reduction in quantitative precipitation prediction by tuning of Kain–Fritch scheme input parameters in the WRF model using the simulated annealing optimization method M. Afshar et al.
15. A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry L. Hsu
16. Assessing optimal set of implemented physical parameterization schemes in a multi-physics land surface model using genetic algorithm S. Hong et al.
17. Evolutionary Algorithm-Based Error Parameterization Methods for Data Assimilation Y. Bai & X. Li
18. Knowledge-guided Genetic Algorithm for input parameter optimisation in environmental modelling K. Wendt et al.
19. Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador
20. Quantitative Precipitation Forecast of a Tropical Cyclone through Optimal Parameter Estimation in a Convective Parameterization X. Yu et al.
21. Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods D. Alzahrani et al.
22. Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks A. Robles-Velasco et al.
23. Development of a coupled genetic algorithm and empirical typhoon wind model and its application Y. Gong et al.
24. Solar radiation transfer and performance analysis of an optimum photovoltaic/thermal system J. Zhao et al.
25. Development of a simple unified volatility-based scheme (SUVS) for secondary organic aerosol formation using genetic algorithms A. Xia et al.
26. Assessment of MME methods for seasonal prediction using WMO LC‐LRFMME hindcast dataset G. Kim et al.
27. A new multimodel ensemble method using nonlinear genetic algorithm: An application to boreal winter surface air temperature and precipitation prediction J. Ahn & J. Lee
28. Handling error propagation in sequential data assimilation using an evolutionary strategy Y. Bai et al.
29. Estimation of parameters of a biochemically based model of photosynthesis using a genetic algorithm Y. SU et al.