Category:Genetic algorithms

A genetic algorithm (GA) is an algorithm used to find approximate solutions to difficult-to-solve problems through application of the principles of evolutionary biology to computer science. Genetic algorithms use biologically-derived techniques such as inheritance, mutation, natural selection, and recombination. Genetic algorithms are a particular class of evolutionary algorithms.

Pages in category "Genetic algorithms"

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There are 20 pages in this section of this category.

* Genetic algorithm Fitness function C Chromosome (genetic algorithm) Crossover (genetic algorithm) Cultural algorithm D Defining length

E Edge recombination operator F Fitness proportionate selection G Genetic algorithm in economics Genetic operator H Holland's schema theorem M Mutation (genetic algorithm) N NeuroEvolution of Augmenting Topologies

Q Quality control and genetic algorithms S Selection (genetic algorithm) Speciation (genetic algorithm) Stochastic universal sampling Swapsc T Tournament selection W Weasel program