MASSING HEURISTICS

typology-aware generative masterplanning

In computer science, artificial intelligence, and mathematical optimization, a heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution.

This workflow generates urban configurations and optimize them in function of performance criteria, as to provide a tool for appropriate decision making.

Our tool explores a contextualised massing design-space, by generating a large number of scenari and evaluating them through the prism of key performance indicators (thermal and visual comfort, energy...).

Our tool include several main ruled-based typologies, that we can adapt to suits designer's requirements.

Results

TEST DATASET

Links

ECHOES.PARIS - CC BY-NC-ND 4.0 - 2019 - LEGAL NOTICE

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