Framework for early-stage generative design of engineering systems

A system, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive one or more design inputs, one or more design constraints, one or more design criteria, and one or more diversity metrics from a designer;
• generate, by using a design configuration generator, a plurality of diverse design configurations using the one or more design inputs, and the one or more design constraints;
• evaluate (i) an associated diversity of each diverse design configuration from the plurality of diverse design configurations using the one or more diversity metrics, and (ii) the one or more design criteria and ranking the plurality of evaluated diverse design configurations;
• receive one or more potential regions of design space for an enhanced targeted exploration based on the plurality of ranked diverse design configurations;
• iteratively apply a targeted exploration on the one or more potential regions of design space,
• until one or more desired design configurations are obtained;
• and
• select at least one desired design configuration amongst the one or more desired design configuration.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving one or more design inputs, one or more design constraints, one or more design criteria, and one or more diversity metrics from a designer;
• generating, by using a design configuration generator, a plurality of diverse design configurations using the one or more design inputs, and the one or more design constraints;
• evaluating (i) an associated diversity of each diverse design configuration from the plurality of diverse design configurations using the one or more diversity metrics, and (ii) the one or more design criteria and ranking the plurality of evaluated diverse design configurations;
• receiving one or more potential regions of design space for an enhanced targeted exploration based on the plurality of ranked diverse design configurations;
• iteratively applying a targeted exploration on the one or more potential regions of design space,
• until one or more desired design configurations are obtained;
• and
• selecting at least one desired design configuration amongst the one or more desired design configuration.