This work has its goal in clarifying hypothesis in using search computational power in the form of genetic algo-rithms to find geometric solutions while designing architecture. We will start by roughly explaining the fundamen-tals of this type of algorithms and its mechanics and ensue by exploring some uses of this technology in architecture. A clear separation between the traditional self-builder and the architect as a profession, in their ways of designing, cannot be denied. Christopher Alexander has a clear view on the mechanics behind these processes, in which repeti-tion over time drives perfection and self-awareness in error detection. Some years before Alexander, computation brought technological possibilities of brute force solution finding, only to be “evolved” into evolutionary strategies – as predicted by Turing. Bringing biology and genetics concepts into the fields of computation, Holland creates ge-netic algorithms, a simulation of the laws of Mendel and Darwin applied to solutions finding. Architecture design, in its pursuit of finding good project solutions, started using these computing strategies recently. Over the last years, the complexity of design levels in which these algorithms have been applied has increased steadily, giving us a glimpse of the future of computing architecture.