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pro vyhledávání: '"Augusto Y. Hermosilla"'
Publikováno v:
Journal of Statistical Computation and Simulation. 75:237-251
In this article, we introduce genetic algorithms (GAs) as a viable tool in estimating parameters in a wide array of statistical models. We performed simulation studies that compared the bias and variance of GAs with classical tools, namely, the steep
Autor:
Augusto Y. Hermosilla, Daniel C. Bonzo
Publikováno v:
Advances in Complex Systems. :339-360
Non-hierarchical cluster analysis for panel data is known to be hampered by structural preservation, computational complexity and efficiency, and dependency problems. Resolving these issues becomes increasingly important as efficient collection and m
Publikováno v:
Advances in Complex Systems. :431-457
Genetic Algorithms (GAs) comprise a class of adaptive heuristic search methods analogous to genetic inheritance and Darwinian strife for survivial of individuals within a population. Today, GAs are widely used to solve complex optimization problems,
Autor:
Augusto Y. Hermosilla, Ho Sung C. Lee
Publikováno v:
Proceedings of the Third Asian Mathematical Conference 2000.
Autor:
Marrick C. Neri, Augusto Y. Hermosilla
Publikováno v:
Proceedings of the Third Asian Mathematical Conference 2000.
Autor:
Augusto Y. Hermosilla
Publikováno v:
Proceedings of the Third Asian Mathematical Conference 2000.