This paper presents a novel hybrid approach for generating automated 2D architectural
layouts by combining agent-based modeling with deep learning algorithms. The primary …

As living standards improve, modern products need to meet increasingly diversified and
personalized user requirements. Traditional product design methods fall short due to their …

Efficiently generating appealing and realistic architectural space configurations has been a
significant challenge for designers. This paper presents a deep-learning approach …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

Abstract “Framework” and “case-study” are the two most prominent features in the
optimization of architectural building design. The first can improve the speed of the process …

Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designing and
treating the activities, layout, and functions for the new generation of buildings to enhance …

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 …

ABSTRACT This study uses Conditional Generative Adversarial Network (CGAN) to
construct a method for generating floor plans for long-term care spaces in retirement home …

The renovation of existing buildings provides an opportunity to change the layout to meet the
needs of facilities and accomplish sustainability in the built environment at high utilisation …

Aims: Pathology shows that conventional training methods have not been able to be
successful in transmitting energy consumption reduction concepts. Therefore, this study …