mcga v3.0.3

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Machine Coded Genetic Algorithms for Real-Valued Optimization Problems

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.

Functions in mcga

Name Description
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
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Details

Type Package
Date 2018-05-12
License GPL (>= 2)
LinkingTo Rcpp
NeedsCompilation yes
LazyLoad yes
Repository CRAN
Date/Publication 2018-05-13 20:30:12 UTC
Packaged 2018-05-13 20:16:47 UTC; istar1
RoxygenNote 5.0.1
depends GA
imports Rcpp (>= 0.11.4)
Contributors Mehmet Satman

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