Application of Genetic Algorithm in the Process of Sound...

This project comprises the application of genetic algorithm in the process of sound evolution using Darwinian Theory of ‘survival of fittest’ whereby its emergent behaviour is employed to produce sound which evolves towards better solution by adapting to the environment over the numerous generations using its simple operations of selection, crossover and mutation. In the context of sound evolution, genetic algorithm has been used to evolve musical notes where the process of fitness function is employed to measure the fitness of candidate solution that takes into consideration the numbers of criteria need to be exists in candidate solution to make individuals rhythmic in nature. The role of genetic algorithm in the process of sound evolution is considered to be vital as far as evolutionary computation is concerned which best suits the application domain in this project. To produce rhythmic sound, numbers of criteria are considered into the fitness function since it does shape the population significantly followed by the rating of individuals based on existence of those criteria into population expected from fitness function. The overall idea of this project and hence the genetic algorithm in sound evolution is to converge the population towards rhythmic sound since the criteria are expected from fitness function that leads the function of selection towards the consideration of those individuals who are most fit followed by the rejection of least ones. Evolving behaviour ofShow MoreRelatedScience Fiction : An Invisibility Cloak1705 Words   |  7 Pagesnature. It can be used to control and manipulate light, sound, and many other physical phenomena. This subject requires knowledge in various engineering fields including electrical, material, optics, and nanoscience. 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