Method and device for floorplan generation

A device for automatic designing of residential floorplan generation, comprising:

• a memory storing a computer program;
• and
• a processor configured to execute the computer program to:
• obtain a current status of a floorplan;
• perform a plurality of iterations to obtain a plurality of scores until a predetermined number of iterations is reached, in each of the plurality of iterations:
• obtain room information of one or more rooms to be deployed through a particle swarm algorithm, the room information including size information of the one or more rooms to be deployed, the size information of each of the one or more rooms to be deployed including a length and a width of the each of the one or more rooms to be deployed, and each particle of a particle swarm representing the size information of one of the one or more rooms to be deployed;
• according to the room information of the one or more rooms to be deployed, perform multiple Monte Carlo tree searches to obtain coordinate information of the one or more rooms to be deployed for optimal decisions on room placement, wherein Monte Carlo tree searches further comprise screening deployment situations that do not meet requirements to compress exploration space;
• and
• determine one of the plurality of scores of the room information and the coordinate information through an evaluation function;
• and
• deploy the one or more rooms to be deployed according to a highest score of the plurality of the scores to update the floorplan.

A non-transitory computer-readable storage medium storing a computer program that, when the computer program being executed by a processor, causing the processor to perform:

• obtaining a current status of a floorplan;
• performing a plurality of iterations to obtain a plurality of scores until a predetermined number of iterations is reached, in each of the plurality of iterations:
• obtaining room information of one or more rooms to be deployed through a particle swarm algorithm, the room information including size information of the one or more rooms to be deployed, the size information of each of the one or more rooms to be deployed including a length and a width of the each of the one or more rooms to be deployed, and each particle of a particle swarm representing the size information of one of the one or more rooms to be deployed;
• according to the room information of the one or more rooms to be deployed, performing multiple Monte Carlo tree searches to obtain coordinate information of the one or more rooms to be deployed for optimal decisions on room placement, wherein Monte Carlo tree searches further comprise screening deployment situations that do not meet requirements to compress exploration space;
• and
• determining one of the plurality of scores of the room information and the coordinate information through an evaluation function;
• and
• deploying the one or more rooms to be deployed according to a highest score of the plurality of the scores to update the floorplan.