A Rapid Design Optimization Framework - Strategies for the fast evaluation of design options
Likai Wang, Patrick Janssen, Tung Do Phuong Bui, Kian Wee Chen · eCAADe proceedings · 2022
This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and multi-resolution simulations. To examine the efficacy of the developed framework, a case- study design optimization is conducted, and different combinations of the strategies are tested and compared. The case study investigates the impact of the adopted strategies on the optimization process in terms of search efficiency and effectiveness, and the result of the case study also demonstrates that optimization can be significantly improved by the use of the adopted strategies.