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  2. Mutation (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Mutation_(evolutionary...

    The classic example of a mutation operator of a binary coded genetic algorithm (GA) involves a probability that an arbitrary bit in a genetic sequence will be flipped from its original state. A common method of implementing the mutation operator involves generating a random variable for each bit in a sequence.

  3. Silent mutation - Wikipedia

    en.wikipedia.org/wiki/Silent_mutation

    One silent mutation causes the dopamine receptor D2 gene to be less stable and degrade faster, underexpressing the gene. A silent mutation in the multidrug resistance gene 1 , which codes for a cellular membrane pump that expels drugs from the cell, can slow down translation in a specific location to allow the peptide chain to bend into an ...

  4. Evolutionary programming - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_programming

    Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover. [ 1 ] [ 2 ] Evolutionary programming differs from evolution strategy ES( μ + λ {\displaystyle \mu +\lambda } ) in one detail. [ 1 ]

  5. Gene expression programming - Wikipedia

    en.wikipedia.org/wiki/Gene_expression_programming

    The chromosomes of gene expression programming are usually composed of more than one gene of equal length. Each gene codes for a sub-expression tree (sub-ET) or sub-program. Then the sub-ETs can interact with one another in different ways, forming a more complex program. The figure shows an example of a program composed of three sub-ETs.

  6. Genetic programming - Wikipedia

    en.wikipedia.org/wiki/Genetic_programming

    Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population of programs.It applies the genetic operators selection according to a predefined fitness measure, mutation and crossover.

  7. Multiple sequence alignment - Wikipedia

    en.wikipedia.org/wiki/Multiple_sequence_alignment

    Alignments highlight mutation events such as point mutations (single amino acid or nucleotide changes), insertion mutations and deletion mutations, and alignments are used to assess sequence conservation and infer the presence and activity of protein domains, tertiary structures, secondary structures, and individual amino acids or nucleotides.

  8. Weasel program - Wikipedia

    en.wikipedia.org/wiki/Weasel_program

    The weasel program or Dawkins' weasel is a thought experiment and a variety of computer simulations illustrating it. Their aim is to demonstrate that the process that drives evolutionary systems—random variation combined with non-random cumulative selection —is different from pure chance .

  9. Synonymous substitution - Wikipedia

    en.wikipedia.org/wiki/Synonymous_substitution

    Point substitution mutations of a codon, classified by their impact on protein sequence. A synonymous substitution (often called a silent substitution though they are not always silent) is the evolutionary substitution of one base for another in an exon of a gene coding for a protein, such that the produced amino acid sequence is not modified.