Computational adaptive methods have already been used in Installation art. Among them, Generative artworks are those that value the artistic process, rather than its final product, which can now be of multimodal nature. Evolutionary Algorithms (EA) can be successfully applied to create a Generative art process that is self-similar yet always new. EAs allow the creation of dynamic complex systems from which identity can emerge. In computational sonic arts, this is ecological modeling; here named Evolutionary Soundscape. This article describes the development and application of an EA computing system developed to generate Evolutionary Soundscapes in a Multimodal Art Installation. Its physical structure uses paths of forking pipes attached to fans and microphones that capture audio to feed the EA system that creates the Soundscape. Here is described the EA system; its design in PureData (PD); its connection with the physical structure; its artistic endeavor and final sonic accomplishments.