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)...

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

In the field of genetic algorithms, a schema (plural: schemata) is a template that represents a subset of potential solutions. These templates use fixed...

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

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

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

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...

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

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

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

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

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

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

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

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

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

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

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

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

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

stability and aesthetics. Possible design algorithms include cellular automata, shape grammar, genetic algorithm, space syntax, and most recently, artificial...

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

important component of evolutionary algorithms (EA), such as genetic programming, evolution strategies or genetic algorithms. An EA is a metaheuristic that...

ground-breaking book on genetic algorithms, "Adaptation in Natural and Artificial Systems". He also developed Holland's schema theorem. Holland authored...

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

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

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