The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function. The use of genetic algorithms for adaptive algorithm backgammon game in the assessment of the function parameters to optimize the training. Algorithm for the introduction of sparring training guide, and gives a new fitness function calculation method to avoid a course of training in population Between a large number of individual competition, thus saving time for training. Experiments show that the training has been formed to assess the parameters of the function algorithm is better than sparring in the assessment of the function.