主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2016
開催日: 2016/06/08 - 2016/06/11
We intend to acquire an optimal morphology by using evolutionary computation. Our proposed method has the problem that computational cost is increased compared with the conventional method. In this paper, we consider the most efficient method for discovering. As the results of the verification experiments, it was verified that a genetic algorithm is able to explore the better solution in a short time.