From Natural Language to Executable Optimization Workflows: A Knowledge-Graph-Driven Framework for Multidisciplinary Optimization
Early-stage engineering design requires balancing competing performance, cost, and feasibility criteria across interacting disciplinary models. However, deploying multidisciplinary optimization (MDO) frameworks remains difficult because translating high-level requirements into executable optimization workflows often re...