Since a relatively small number of elementary components can produce a large number of robots, a genetic algorithm is used to search for the best possible robot assembly for the given task. This paper investigates the application of genetic algorithms for the evaluation of machine models of music. A simplified model for the composition of Western Music is created, and is then implemented into a reasonable objective function. Using this objective, the GA composes music at a 'respectably high' and aurally satisfactory level. Validity of the music model is demonstrated, with an eye toward future work in GA-assisted composition.
Fitness is a dynamic measure based on the sum of all interactions within the population.
It is shown that noise undermines such an equilibrium by fostering agressive strategies. Population under increasingly noisy conditions are demonstrated to converge more slowly, or not at all. The purpose of this term project is to develop a method of improving the closed loop achievable performance by open loop system dynamics design. H-infinity optimal control analysis is used to specify the bounds of achievable performance. In this process, the pole and zero dynamics are obtained by the dynamics structure analysis.