Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

This study presents a systematic review and summary of performative computational
architecture using swarm and evolutionary optimisation. The taxonomy for one hundred …

We propose a novel data-driven technique for automatically and efficiently generating floor
plans for residential buildings with given boundaries. Central to this method is a two-stage …

Climate change will make the Iranian climate hotter and drier. This increase in the
harshness of the boundary conditions poses a new question of whether today's high …

We introduce a learning framework for automated floorplan generation which combines
generative modeling using deep neural networks and user-in-the-loop designs to enable …

The climate will become hotter, and buildings will perform differently as outdoor conditions
evolve. If the lowest energy demand is desired, it is crucial to determine the ideal …

This paper presents a method for the automatic generation of a spatial architectural layout
from a user-specified architectural program. The proposed approach binds a multi-agent …

Thermal mass, a pivotal element in a building's performance, functions as an indoor thermal
buffer. While literature underscores its advantages, the enduring impact of thermal mass …

Architectural design, a complex optimization process, employs computational design tools to
converge to a subset of design options within a large design space. Recent efforts …

This paper addresses the challenge of object-centric layout generation under spatial
constraints seen in multiple domains including floorplan design process. The design …