crossover: Crossover
In edcurry/GABi: Framework for Generalized Subspace Pattern Mining
Description
Usage
Arguments
Details
Value
Author(s)
Description
Performs crossover genetic operator in GABi genetic algorithm.
Usage
1
crossover(subpop,xoverpoints,pinvert=0)
Arguments
subpop
A numeric array representing a population of GA solutions. Each row corresponds to a distinct solution
xoverpoints
The number of 'crossover points' in the crossover operation (see details).
pinvert
The probability with which the order of the subset to be swapped of one of the solutions will be reversed prior to crossover.
Details
Crossover exchanges parts of two GABi solutions, giving rise to two 'offspring' solutions, each containing parts of the two 'parent' solutions. The position of the crossover points (i.e. the limits of the regions of the solutions that will be swapped with each other) is randomly sampled from the whole length of available positions (constrained only by the number of crossover points chosen).
Value
A numeric array representing a population of GA solutions. Each row corresponds to a distinct solution.
Author(s)
Ed Curry e.curry@imperial.ac.uk
edcurry/GABi documentation built on May 16, 2019, 7:10 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Performs crossover genetic operator in GABi genetic algorithm.
Usage
1 | crossover(subpop,xoverpoints,pinvert=0)
|
Arguments
subpop |
A numeric array representing a population of GA solutions. Each row corresponds to a distinct solution |
xoverpoints |
The number of 'crossover points' in the crossover operation (see details). |
pinvert |
The probability with which the order of the subset to be swapped of one of the solutions will be reversed prior to crossover. |
Details
Crossover exchanges parts of two GABi solutions, giving rise to two 'offspring' solutions, each containing parts of the two 'parent' solutions. The position of the crossover points (i.e. the limits of the regions of the solutions that will be swapped with each other) is randomly sampled from the whole length of available positions (constrained only by the number of crossover points chosen).
Value
A numeric array representing a population of GA solutions. Each row corresponds to a distinct solution.
Author(s)
Ed Curry e.curry@imperial.ac.uk
R Package Documentation
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