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. 2015 Jan 28;16:22. doi: 10.1186/s12859-015-0450-2

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© Ó Broin et al.; licensee BioMed Central. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Genetic algorithm overview. After the population is initialized, the algorithm iterates between evaluating the solutions from the current population and generating new solutions from selected candidates through various evolutionary operators. Termination usually occurs after a specified number of iterations (‘generations’) have elapsed, when an acceptable solution (such as within an allowable error threshold) has been found, or, after a fixed period during which the fitness has remained relatively constant.