Abstract Machine learning, as a computational tool for finding mappings between the input
and output data, has been widely used in engineering fields. Researchers have applied …

This paper focuses on utilizing deep reinforcement learning technology to explore how to
achieve automated architectural space composition under established built environment …

This article introduces and comments on some of the techniques currently used by
designers to generate automatic building floor plans and spatial configurations in general …

With the increasing demands of health care, the design of hospital buildings has become
increasingly demanding and complicated. However, the traditional layout design method for …

Computer-aided intelligent design can improve the quality and efficiency of residential
building design. However, the design conditions are diverse, and numerous combinations of …

Architectural layout design is of considerable importance in urban design, yet it can be a
time-consuming and labor-intensive task for architects. Thus, a highly automated approach …

The conventional layout problem is concerned with finding the arrangements of components
inside the container to optimize objectives under geometrical constraints, ie, no component …

This chapter illustrates the extent to which software influence the generation of public
spaces. In particular, I discuss a number of projects where machine learning techniques and …