The research falls within the domain of heuristic multi-user driven design. It explores the shift from the utilization of automated systems for the evaluation of design optimization problems to a user-based approach. Users are asked to collaborate in solving a design problem relying on their intuition and experience to guide the solution to convergence. This regulated expansion in the designers’ circle is conducted through the development and deployment of a specialized digital interface. Additionally, the research aims to compare this type of human-based optimization with its automated counterparts while creating a novel scientific multi-player gaming environment where the generated data is extracted and put towards problem solving.
The scoring function is an attempt to guage how good or bad a solution is when dealing with multi-objective optimization. Two different functions were implemented for that purpose. They both compare the structure’s compliance with the percentage of utilized material. The first is only concerned with the user’s last known contribution to each element. A solution surface is thus created for each user and the compliance calculated with the values that lie on that surface. A user with a lower compliance value relative to that specific material density wins the game. The second is a linear function of both compliance and material density. It compares the current solution with the previous one to guage how well the user is preforming on a turn-by-turn basis. Areas in red (score of around 5) are theoretically impossible to attain as removing material is unlikely to cause a drop in compliance. Area in blue (score of around -5) is also impossible as adding material is unlikely to increase compliance. Most scores fell within the -3 to 3 range. A user gets a score of zero if material has been removed and compliance increases - which is bound to happen regardless.