Conference Paper

Möbius: A Parametric Modeller for the Web

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Abstract

For complex parametric modelling tasks, systems that use textual programming languages (TPLs) currently have clear ad- vantages over visual programming languages (VPLs) systems. Their support for a rich variety of programming mechanisms means that the complexity of the program can remain commensurate with the com- plexity of the modelling task. A prototype parametric modelling sys- tem called Mo?bius is presented that aims to overcome the limitations of existing VPL systems. The proposed system integrates associative and imperative programming styles and supports iterative looping and higher order functions. In order to demonstrate the versatility of the Mo?bius, a modelling task is presented that requires the model to be modified.

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Chapter
During the early stages of design exploration, competing design strategies are typically considered. This chapter presents a design method, supported by a novel type of evolutionary algorithm, that maintains a heterogeneous population of design variants based on competing design strategies. Each strategy defines its own search space of design variants, all sharing a common generative concept or idea. A population of design variants is evolved through a process of selection and variation. As evolution progresses, some design strategies will become extinct while others will gradually dominate the population. A demonstration is presented showing how a designer can explore competing strategies by running a series of iterative evolutionary searches. The evolutionary algorithm has been implemented on a cloud platform, thereby allowing populations design variants to be processed in parallel. This results in a significant reduction in computation time, allowing thousands of designs to be evolved in just a few minutes.
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