abstract = "We have to prepare the evaluation (fitness) function
to evaluate the performance of the robot when we apply
the machine learning techniques to the robot
application. In many cases, the fitness function is
composed of several aspects. Simple implementation to
cope with the multiple fitness function is a weighted
summation. This paper presents an adaptive fitness
function for the evolutionary computation to obtain the
purposive behaviours through changing the weights for
the fitness function. As an example task, a shooting
behaviour in a simplified soccer game is selected to
show the validity of the proposed method. Simulation
results and real experiments are shown, and a
discussion is given.",