Optimal Forms - A Master Thesis On Generative Modeling Techniques in Optimization

Nelson de Jesus Silverio da Silva

Research output: ThesisMaster's Thesis


The generative modeling paradigm is a shift from static models to flexible models. A generative model describes a modeling process using functions, methods and operators. The result is an algorithmic description of the construction process. Each evaluation of such an algorithm creates a model instance, which depends on its input parameters (width, height, radius, orientation, etc.). These values are normally chosen according to aesthetic aspects and style. In this study, the model‟s parameters are automatically generated according to an objective function. A generative model can be optimized according to its parameters, in this way, the best solution for a constrained problem is determined. The field of application is energy and architecture. Besides the establishment of an overall framework design, this work consists on the identification of different building shapes and their main parameters, the creation of an algorithmic description for these main shapes and the formulation of the objective function, respecting a building‟s energy consumption (solar energy, heating and insulation). Also, this work aims the conception of an optimization pipeline, combining an energy calculation tool with a geometric scripting engine. In this study, one can read about state of the art developments related to architecture and procedural modeling. The major contribution of this development is to present methods that lead to an automated and optimized 3D shape generation for the projected building (based on the desired conditions and according to specific constrains), this will help in the construction of real buildings that account for less energy consumption and for a more sustainable world.
Original languageEnglish
  • Eggeling, Eva, Supervisor
  • Ullrich, Torsten, Advisor
  • Alves, Nuno, Supervisor, External person
Publication statusPublished - 31 Jul 2011


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