The Perl Toolchain Summit needs more sponsors. If your company depends on Perl, please support this very important event.

Search results for "module:Algorithm::Evolutionary::Fitness::ONEMAX"

Algorithm::Evolutionary::Fitness::ONEMAX - Fitness function for the ONEMAX or count-ones problem River stage one • 3 direct dependents • 4 total dependents

ONEMAX is the classical count-ones optimization function. Fast to implement, and good for early prototyping of new evolutionary algorithms....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Fitness::ONEMAX - Fitness function for the ONEMAX or count-ones problem River stage zero No dependents

ONEMAX is the classical count-ones optimization function. Fast to implement, and good for early prototyping of new evolutionary algorithms....

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 UTC

Algorithm::Evolutionary::Op::Breeder - Even more customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Breeder part of the evolutionary algorithm; takes a population and returns another created from the first...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::EDA_step - Single step for a Estimation of Distribution Algorithm River stage one • 3 direct dependents • 4 total dependents

Estimation of Distribution Algorithms shun operators and instead try to model the distribution of "good" solutions in the population. This version corresponds to the most basic one....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::FullAlgorithm - Skeleton class for a fully-featured evolutionary algorithm River stage one • 3 direct dependents • 4 total dependents

Class for a configurable evolutionary algoritm. It takes a single-generarion object, and mixes it with a termination condition to create a full algorithm. Includes a sensible default (100-generation generational algorithm) if it is issued only an obj...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::Breeder_Diverser - Like Breeder, only it tries to cross only individuals that are different River stage one • 3 direct dependents • 4 total dependents

Breeder part of the evolutionary algorithm; takes a population and returns another created from the first. Different from Algorithm::Evolutionary::Op::Breeder: tries to avoid crossover among the same individuals and also re-creating an individual alr...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::GeneralGeneration - Customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Genetic algorithm that uses the other component. Must take as input the operators thar are going to be used, along with its priorities...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Op::Generation_Skeleton - Even more customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Skeleton class for a general single-generation (or single step) in an evolutionary algorithm; its instantiation requires a fitness function, a Selector, a reference to an array of operators and a replacement operator...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC
8 results (0.044 seconds)