@inproceedings{4904834562484aca83db02a40f003889,
title = "Evolving the best known approximation to the Q function",
abstract = "The Gaussian Q-function is the integral of the tail of the Gaussian distribution; as such, it is important across a vast range of fields requiring stochastic analysis. No elementary closed form is possible, so a number of approximations have been proposed. We use a Genetic Programming (GP) system, Tree Adjoining Grammar Guided GP (TAG3P) with local search operators to evolve approximations of the Q-function in the form given by Benitez [1]. We found more accurate approximations than any previously published. This confirms the practical importance of local search in TAG3P.",
keywords = "genetic programming, local search, q-function approximation, tree adjoining grammar",
author = "Phong, {Dao Ngoc} and Hoai, {Nguyen Xuan} and McKay, {Robert Ian} and Constantin Siriteanu and Uy, {Nguyen Quang} and Namyong Park",
year = "2012",
doi = "10.1145/2330163.2330275",
language = "English",
isbn = "9781450311779",
series = "GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation",
pages = "807--812",
booktitle = "GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation",
note = "14th International Conference on Genetic and Evolutionary Computation, GECCO'12 ; Conference date: 07-07-2012 Through 11-07-2012",
}