Usage
tsp_generation_ea(fitness_function, pop_size = 30L, inst_size = 50L, generations = 100L, time_limit = 30L, uniform_mutation_rate, normal_mutation_rate, normal_mutation_sd, cells_round = 100L, rnd = TRUE, ...)
Arguments
fitness_function
[function(x, ...)]
Fitness function used to judge the fitness of a TSP instance.
x is a numeric matrix with 2 columns, containing
the coordinates of a TSP instance.
pop_size
[integer(1)]
Number of TSP instances maintained in each population.
Default is 30.
inst_size
[integer(1)]
Number of cities of each TSP instance.
Default is 50.
generations
[integer(1)]
Number of generations.
Default is 100L.
time_limit
[integer(1)]
Time limit in seconds.
Default is 30.
uniform_mutation_rate
[numeric(1)]
Mutation probability in uniform mutation (in [0,1]).
normal_mutation_rate
[numeric(1)]
Mutation probability in normal mutation (in [0,1])
normal_mutation_sd
[numeric(1)]
Standard deviation of normal noise in normal mutation
cells_round
[numeric(1)]
Grid resolution for rounding
Default is 100.
rnd
[logical(1)]
Round the coordinates before normal mutation.
Default is TRUE.