Study of Genetic Algorithms with Crossover Based on Confidence Intervals as an Alternative to Classical Least Squares Estimation Methods for Nonlinear Models

Ortiz-Boyer, D., Harvás-Martínez, C., & Muñoz-Pérez, J. (2003). Study of Genetic Algorithms with Crossover Based on Confidence Intervals as an Alternative to Classical Least Squares Estimation Methods for Nonlinear Models (pp. 127–151). https://doi.org/10.1007/978-1-4757-4137-7_6