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  2. Holland's schema theorem - Wikipedia

    en.wikipedia.org/wiki/Holland's_schema_theorem

    Holland's schema theorem, also called the fundamental theorem of genetic algorithms, [1] is an inequality that results from coarse-graining an equation for evolutionary dynamics. The Schema Theorem says that short, low-order schemata with above-average fitness increase exponentially in frequency in successive generations.

  3. Schema (genetic algorithms) - Wikipedia

    en.wikipedia.org/wiki/Schema_(genetic_algorithms)

    A schema (pl.: schemata) is a template in computer science used in the field of genetic algorithms that identifies a subset of strings with similarities at certain string positions. Schemata are a special case of cylinder sets , forming a basis for a product topology on strings. [ 1 ]

  4. John Henry Holland - Wikipedia

    en.wikipedia.org/wiki/John_Henry_Holland

    In 1975, he wrote the ground-breaking book on genetic algorithms, "Adaptation in Natural and Artificial Systems". He also developed Holland's schema theorem . Publications

  5. Genetic algorithm - Wikipedia

    en.wikipedia.org/wiki/Genetic_algorithm

    As a general rule of thumb genetic algorithms might be useful in problem domains that have a complex fitness landscape as mixing, i.e., mutation in combination with crossover, is designed to move the population away from local optima that a traditional hill climbing algorithm might get stuck in. Observe that commonly used crossover operators ...

  6. List of theorems called fundamental - Wikipedia

    en.wikipedia.org/wiki/List_of_theorems_called...

    Fundamental theorem of poker; Holland's schema theorem, or the "fundamental theorem of genetic algorithms" Glivenko–Cantelli theorem, or the "fundamental theorem of statistics" Fundamental theorem of software engineering

  7. Evolutionary computation - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_computation

    Genetic algorithms deliver methods to model biological systems and systems biology that are linked to the theory of dynamical systems, since they are used to predict the future states of the system. This is just a vivid (but perhaps misleading) way of drawing attention to the orderly, well-controlled and highly structured character of ...

  8. Category:Genetic algorithms - Wikipedia

    en.wikipedia.org/wiki/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 .

  9. Evolutionary algorithm - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_algorithm

    3.1 No free lunch theorem. ... Schema; Promoter based GA; Genetic programming (GP) ... Similar to genetic algorithms and evolution strategies, but the created ...