抄録
In this paper, we propose an Interactive Genetic Algorithm (IGA) with tournament evaluation applying win-loss result presumption that obtains evaluations of individuals from multiple people. In tournament evaluation, there is a problem that IGA users have to evaluate the same individual several times. Therefore it is thought that motivation for the solution evaluation of the users deteriorates. To overcome this difficulty, we propose that applying win-loss result presumption based on evaluation result records of the users to tournament evaluation by multiple people. The effectiveness of the proposed technique is verified using a simulation that employs multiple numerical evaluation agents instead of human evaluators. The simulation results shows to reduce the number of the play that evaluation agents voted for 89.0% at the maximum. Furthermore, we performed the performance comparison that assumed the conventional method comparison technique. The performance comparison results shows that an equal absolute grading value was provided even if the number of the play that evaluation agents voted is decrease.
