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

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

Truncation selection is a selection method in selective breeding and in evolutionary algorithms from computer science, which selects a certain share of...

proportionate selection, also known as roulette wheel selection or spinning wheel selection, is a selection technique used in evolutionary algorithms for selecting...

Evolutionary computation from computer science is a family of algorithms for global optimization inspired by biological evolution, and the subfield of...

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

Tournament selection is a method of selecting an individual from a population of individuals in a evolutionary algorithm. Tournament selection involves...

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

and select between solutions (selection). The classic representatives of evolutionary algorithms include genetic algorithms, evolution strategies, genetic...

diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic algorithms in particular. It is analogous to biological mutation...

genotype in evolutionary algorithms (EA) is a set of parameters which define a proposed solution of the problem that the evolutionary algorithm is trying...

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

operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary search for the optimum...

Divine selection, selection by God Papal selection, selection by clergy Selection (user interface) X Window selection Selection (evolutionary algorithm) Selection...

Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover...

natural selection has spread from evolutionary biology to other disciplines, including evolutionary computation, quantum Darwinism, evolutionary economics...

Reward-based selection is a technique used in evolutionary algorithms for selecting potentially useful solutions for recombination. The probability of...

populations over successive generations. It occurs when evolutionary processes such as natural selection and genetic drift act on genetic variation, resulting...

Stochastic universal sampling (SUS) is a selection technique used in evolutionary algorithms for selecting potentially useful solutions for recombination...

In evolutionary computation, a human-based genetic algorithm (HBGA) is a genetic algorithm that allows humans to contribute solution suggestions to the...

memetic algorithm for gene selection and molecular classification of an cancer. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation...

computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems...

Algorithm selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta-algorithmic technique to choose...

A cellular evolutionary algorithm (cEA) is a kind of evolutionary algorithm (EA) in which individuals cannot mate arbitrarily, but every one interacts...

The population model of an evolutionary algorithm (EA) describes the structural properties of its population to which its members are subject. A population...

important result since it suggested that group selection evolutionary algorithms coupled together with algorithms similar to the "ant colony" can be potentially...

convergence to a single solution. The field of Evolutionary algorithms encompasses genetic algorithms (GAs), evolution strategy (ES), differential evolution...

of genetic algorithms and evolutionary computation, which develop solutions to complex problems via a process of variation and selection. Author D. B...

Differential evolution (DE) is an evolutionary algorithm to optimize a problem by iteratively trying to improve a candidate solution with regard to a given...

Cultural algorithms (CA) are a branch of evolutionary computation where there is a knowledge component that is called the belief space in addition to the...