Class "ga"
An S4 class for genetic algorithms class
Objects can be created by calls to the ga function.
call: an object of class "call" representing the matched call;type: a character string specifying the type of genetic algorithm used;lower: a vector providing for each decision variable the lower bounds of the search space in case of real-valued or permutation encoded optimisations. Formerly this slot was named min;upper: a vector providing for each decision variable the upper bounds of the search space in case of real-valued or permutation encoded optimizations. Formerly this slot was named max;nBits: a value specifying the number of bits to be used in binary encoded optimizations;names: a vector of character strings providing the names of decision variables (optional);popSize: the population size;iter: the actual (or final) iteration of GA search;run: the number of consecutive generations without any improvement in the best fitness value before the GA is stopped;maxiter: the maximum number of iterations to run before the GA search is halted;suggestions: a matrix of user provided solutions and included in the initial population;population: the current (or final) population;elitism: the number of best fitness individuals to survive at each generation;pcrossover: the crossover probability;pmutation: the mutation probability;optim: a logical specifying whether or not a local search using general-purpose optimisation algorithms should be used;fitness: the values of fitness function for the current (or final) population;summary: a matrix of summary statistics for fitness values at each iteration (along the rows);bestSol: if keepBest = TRUE, the best solutions at each iteration;fitnessValue: the best fitness value at the final iteration;solution: the value(s) of the decision variables giving the best fitness at the final iteration.Luca Scrucca
For examples of usage see ga.