Abstract
In this paper, we implement the computer aided composing system of interactive evolutionary computation with composing model. The composing model is a kind of probabilistic deterministic finite-state automaton, which learns melodies and composes the melody based on learned data as an individual in interactive evolutionary computation. The composing model learns the favor model of the user and compose the user's pleasant melody. With GUI, the user evaluates and improves the melodies that composing models compose, and composing models learn the melodies that are selected from them. We suppose that it is possible that the composing model is optimized into the favor model by learning melodies of the best selection. We decided that the composing models in this system learned 7 melodies, since the results of experiment showed that the composing models learned 7 melodies composed the good melodies. In the experiment of executing the system, average fitness of the composing models was increasing according to the generation number and the average fitness stopped increasing at 12 generation, and all generated melodies are almost same at 12 generation. The offspring of composing model with high fitness had high fitness, because the melody of model of high fitness is similar with one of its offspring. The evaluation of the same melodies by a user was not constant, since the user changed the favor through the iterative process of improving or listening to the various melodies. We suppose that the system does not only learn the user's favor with composing model but also makes user's favor clear.