Online-Zoom-Jun 04-05th and Jun 11-12th, 2022
The workshop will explore Genetic Algorithms as an exploratory and an optimisation process using Snowflake - a newly developed interactive plug-in, and apply the developed method to de- sign high-rise morphologies in a selected urban context.
The workshop will introduce participants to the working principles of engaging with GAs to solve multi-objective optimisation problems first, then moving into a more advanced level of interacting with the algorithm to guide the evolution to reflect participant's intuition or preference. Using Snowflake, the newly developed interactive plug-in, the learned design process will be applied in the generation of multi-story morphologies on a selected site. Participants will learn how to formulate the design problem as input data to the algorithm, and how to interact with the algorithm to guide the generation and selection process. The outcome of the design exercise will incorporate quantitative performance-based objectives, along with qualitative intuitive ones. The proposed process is an attempt to create a dialogue between human intuition and the genetic algorithms that may enable a varied and richer space of viable design solutions.