Construction sequencing optimization

A smart virtual designer system for construction sequencing optimization, wherein the system is configured to train an artificial-intelligence structure to automatically generate actual designs based on inputs related to an actual fabrication or construction project, the system comprising:

• a design database storing existing data of past fabrication or construction projects, the existing data comprising a plurality of data sets comprising at least one of past designs and past inputs;
• and
• at least one server comprising a tangible, non-transitory computer-readable medium having stored thereon a generative virtual designer comprising the neural network structure including at least an autoencoder and an encoder-decoder pair, the autoencoder comprising a first encoder and a first decoder and the encoder-decoder pair comprising either the first encoder and a second decoder or the first decoder and a second encoder;
• wherein:
• the design database and the server are configured to interact so that the existing data are provided to the autoencoder;
• the autoencoder is configured to encode and decode at least a subset of the plurality of data sets to learn a representation of the data sets in a low-dimensional space, wherein the encoding and decoding of the data sets comprises an encoding, by the first encoder, of the data sets to low-dimensional representations, and a decoding, by the first decoder, of the low-dimensional representations;
• the system comprises a data input device configured to receive actual input data related to an actual fabrication or construction project and to provide the actual input data to the encoder-decoder pair;
• the encoder-decoder pair is configured to encode the actual input data to an actual low-dimensional representation and to decode the actual low-dimensional representation;
• the system is configured to generate output data based on the result of the decoding of the actual low-dimensional representation.