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Genetic algorithm
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==== Initialization ==== The population size depends on the nature of the problem, but typically contains hundreds or thousands of possible solutions. Often, the initial population is generated randomly, allowing the entire range of possible solutions (the [[Feasible region|search space]]). Occasionally, the solutions may be "seeded" in areas where optimal solutions are likely to be found or the distribution of the sampling probability tuned to focus in those areas of greater interest.<ref>{{cite journal |last1=Luque-Rodriguez |first1=Maria |last2=Molina-Baena |first2=Jose |last3=Jimenez-Vilchez |first3=Alfonso |last4=Arauzo-Azofra |first4=Antonio |title=Initialization of Feature Selection Search for Classification (sec. 3) |journal=Journal of Artificial Intelligence Research |date=2022 |volume=75 |pages=953β983 |doi=10.1613/jair.1.14015 |url=https://www.jair.org/index.php/jair/article/view/14015|doi-access=free }}</ref>
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