Journal of Computational Physics
An introduction to genetic algorithms
An introduction to genetic algorithms
Optimization heuristics in econometrics: applications of threshold accepting
Optimization heuristics in econometrics: applications of threshold accepting
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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Censored Quantile Regressions of Powell (1984, 1986) are very powerful inferencing tools in economics and engineering. As the calculation of censored quantile regressions involves minimizing a nonconvex and nondifferentiable function, global optimization techniques can be the only breakthroughs. The first implementation of a global optimization technique, namely Threshold Accepting of Fitzenberger and Winker (1998, 2007), is challenged by the Genetic Algorithm (GA) in this paper. The results show that the GA provides substantial improvements over Threshold Accepting for cases with randomly distributed censoring points.