test/genetic_algorithm.rb
def fitness()
        return @fitness if @fitness

        raise "inside fitness even though defined and not nill" if @fitness

        last_token = @data[0]
        cost = 0

        @data[1..-1].each do |token|
          cost += @@costs[last_token][token]
          last_token = token
        end

        @fitness = -1 * cost

        return @fitness.to_f
      end
# The fitness method quantifies the optimality of a solution 
# (that is, a chromosome) in a genetic algorithm so that that particular 
# chromosome may be ranked against all the other chromosomes. 
# 
# Optimal chromosomes, or at least chromosomes which are more optimal, 
# are allowed to breed and mix their datasets by any of several techniques, 
# producing a new generation that will (hopefully) be even better.
The fitness method quantifies the optimality of a solution
(that is, a chromosome) in a genetic algorithm so that that particular
chromosome may be ranked against all the other chromosomes.

Optimal chromosomes, or at least chromosomes which are more optimal,
are allowed to breed and mix their datasets by any of several techniques,
producing a new generation that will (hopefully) be even better.
The fitness method quantifies the optimality of a solution ( that is a chromosome ) in a genetic algorithm so that that particular chromosome may be ranked against all the other chromosomes . Optimal chromosomes or at least chromosomes which are more optimal are allowed to breed and mix their datasets by any of several techniques producing a new generation that will ( hopefully ) be even better .
def fitness()
        return @fitness if @fitness
        raise "inside fitness even though defined and not nill" if @fitness
        last_token = @data[0]
        cost = 0
        @data[1..-1].each do |token|
          cost += @@costs[last_token][token]
          last_token = token
        end
        @fitness = -1 * cost
        return @fitness.to_f
      end
def fitness ( ) return @fitness if @fitness raise "inside fitness even though defined and not nill" if @fitness last_token = @data [ 0 ] cost = 0 @data [ 1 .. - 1 ] . each do | token | cost += @@costs [ last_token ] [ token ] last_token = token end @fitness = - 1 * cost return @fitness . to_f end
The fitness method quantifies the optimality of a solution
(that is, a chromosome) in a genetic algorithm so that that particular
chromosome may be ranked against all the other chromosomes.
The fitness method quantifies the optimality of a solution ( that is a chromosome ) in a genetic algorithm so that that particular chromosome may be ranked against all the other chromosomes .