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...

a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)...

Holland's schema theorem, also called the fundamental theorem of genetic algorithms, is an inequality that results from coarse-graining an equation for...

engineering Schema (genetic algorithms), a set of programs or bit strings that have some genotypic similarity Schema.org, a web markup vocabulary Schema (logic)...

In genetic algorithms and genetic programming defining length L(H) is the maximum distance between two defining symbols (that is symbols that have a fixed...

science and operations research, Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process...

Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population...

in the literature as Baldwinian evolutionary algorithms, Lamarckian EAs, cultural algorithms, or genetic local search. Inspired by both Darwinian principles...

Evolutionary algorithms (EA) reproduce essential elements of the biological evolution in a computer algorithm in order to solve "difficult" problems, at...

in evolutionary algorithms and evolutionary computation, also called recombination, is a genetic operator used to combine the genetic information of two...

A genetic operator is an operator used in evolutionary algorithms (EA) to guide the algorithm towards a solution to a given problem. There are three main...

to genetic algorithms: IV. Genetic Algorithm". Retrieved 12 August 2015. Eiben, A.E.; Smith, J.E. (2015). "Components of Evolutionary Algorithms". Introduction...

Trail problem Savi Technology Schema (genetic algorithms) Search-based software engineering Selection (genetic algorithm) Self-Service Semantic Suite Semantic...

multi-modal optimization algorithms based on evolutionary algorithms". In Proceedings of the 8th annual conference on Genetic and evolutionary computation...

genetic algorithms in particular. It is analogous to biological mutation. The classic example of a mutation operator of a binary coded genetic algorithm (GA)...

encoding, encoding by tree, or any one of several other representations. Genetic algorithms (GAs) are typically linear representations; these are often, but not...

Martina Gorges-Schleuter (1990): Genetic Algorithms and Population Structures - A Massively Parallel Algorithm. PhD thesis, Universität Dortmund, Fakultät...

component. In this sense, cultural algorithms can be seen as an extension to a conventional genetic algorithm. Cultural algorithms were introduced by Reynolds...

Cultural algorithms Differential evolution Dual-phase evolution Estimation of distribution algorithm Evolutionary algorithm Genetic algorithm Evolutionary...

Selection is a genetic operator in an evolutionary algorithm (EA). An EA is a metaheuristic inspired by biological evolution and aims to solve challenging...

logic programming Pattern theory Statistical relational learning Schema (genetic algorithms) Wille, Rudolf (1982). "Restructuring lattice theory: An approach...

family of evolutionary algorithms and is closely related to genetic algorithms and genetic programming. From genetic algorithms it inherited the linear...

learning methods that combine a discovery component (e.g. typically a genetic algorithm in evolutionary computation) with a learning component (performing...

The Fly Algorithm is a computational method within the field of evolutionary algorithms, designed for direct exploration of 3D spaces in applications...

Evolutionary Algorithms: Arithmetic Circuits: A Case Study. In: D. Quagliarella, J. Periaux, C. Poloni, G. Winter (eds.) Genetic Algorithms and Evolution...

In artificial immune systems, clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains...

has been shown for various EAs such as genetic algorithms, the evolution strategy, other EAs or memetic algorithms. Evolutionary computation Evolution Leung...

single terminal. Note that linear tree GP differs from bit string genetic algorithms since a population may contain programs of different lengths and there...

selected and reproduced randomly. It is used in Muhlenbein's breeder genetic algorithm. Crow & Kimura 1979, "Efficiency of truncation selection" Blickle...

Wu, Ming-Sheng; Jeng, Jyh-Horng; Hsieh, Jer-Guang (June 2007). "Schema genetic algorithm for fractal image compression". Engineering Applications of Artificial...