Learn R Programming

⚠️There's a newer version (3.0.7) of this package.Take me there.

mcga (version 3.0.3)

Machine Coded Genetic Algorithms for Real-Valued Optimization Problems

Description

Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.

Copy Link

Version

Install

install.packages('mcga')

Monthly Downloads

322

Version

3.0.3

License

GPL (>= 2)

Maintainer

Mehmet Satman

Last Published

May 13th, 2018

Functions in mcga (3.0.3)

SizeOfInt

Byte-length of a int typed variable
byte_crossover

Performs crossover operation on a pair of two selected parent candidate solutions
sbx_crossover

Performs sbx (simulated binary) crossover operation on a pair of two selected parent candidate solutions
UniformCrossOverOnDoublesUsingBytes

Uniform Crossover operation on the two vectors of doubles using their byte representations
mcga2

Performs a machine-coded genetic algorithm search for a given optimization problem
byte_mutation_dynamic

Performs mutation operation on a given double vector using dynamic mutation probabilities
byte_mutation

Performs mutation operation on a given double vector
byte_mutation_random

Performs mutation operation on a given double vector
mcga

Performs machine coded genetic algorithms on a function subject to be minimized.
multi_mcga

Performs multi objective machine coded genetic algorithms.
mcga-package

Machine Coded Genetic Algorithms for Real-valued Optimization Problems
byte_crossover_2p

Performs two-point crossover operation on a pair of two selected parent candidate solutions
unfair_average_crossover

Performs unfair average crossover operation on a pair of two selected parent candidate solutions
mcga-internal

Internal mcga objects
byte_crossover_1p

Performs one-point crossover operation on a pair of two selected parent candidate solutions
flat_crossover

Performs flat crossover operation on a pair of two selected parent candidate solutions
linear_crossover

Performs linear crossover operation on a pair of two selected parent candidate solutions
byte_mutation_random_dynamic

Performs mutation operation on a given double vector with dynamic mutation probabilities
OnePointCrossOver

One Point Crossover operation on the two vectors of bytes
ByteVectorToDoubles

Converting p * sizeof(double) bytes to a vector of p double values
ByteCodeMutation

Mutation operator for byte representation of double values
EnsureBounds

Altering vector of doubles to satisfy boundary constraints
MaxDouble

Maximum value of a double typed variable
ByteCodeMutationUsingDoubles

Mutation operator for byte representation of double values
ByteCodeMutationUsingDoublesRandom

Mutation operator for byte representation of double values
BytesToDouble

Converting sizeof(double) bytes to a double value
SizeOfLong

Byte-length of a long typed variable
DoubleVectorToBytes

Byte representation of a vector of double typed variables
UniformCrossOver

Uniform Crossover operation on the two vectors of bytes
TwoPointCrossOverOnDoublesUsingBytes

Two-point Crossover operation on the two vectors of doubles using their byte representations
TwoPointCrossOver

Two Point Crossover operation on the two vectors of bytes
arithmetic_crossover

Performs arithmetic crossover operation on a pair of two selected parent candidate solutions
DoubleToBytes

Byte representation of a double typed variable
SizeOfDouble

Byte-length of a double typed variable
OnePointCrossOverOnDoublesUsingBytes

One-point Crossover operation on the two vectors of doubles using their byte representations
blx_crossover

Performs blx (blend) crossover operation on a pair of two selected parent candidate solutions