Abstract The growing complexity of urban development and the demand for faster, more efficient construction have led architects and engineers to explore new design paradigms. Among these, modular construction and prefabrication have emerged as promising solutions for high-rise buildings, offering advantages in speed, quality control, and material efficiency. Modular systems rely on the off-site production of standardised units, later assembled on-site using various installation techniques, reducing construction time and minimising waste. Parallel to this, advancements in digital design—especially parametric and algorithmic modelling—have transformed architectural work-flows. These tools allow real-time simulation, spatial analysis, and iterative optimisation, enabling architects to create spatial configurations that are both functional and adaptable. Yet, a gap remains in integrating digital design logic with modular systems, particularly in high-rise residential architecture. This research addresses that gap by introducing a computational method for generating and optimising modular floor plans. The approach integrates algorithmic design, adjacency validation, and multi-objective optimisation within a parametric workflow. It supports rapid floor plan generation while responding to user preferences and functional requirements, site conditions, and architectural criteria. Unlike catalogue-based modular systems, the proposed method automates floor plan generation and evaluates performance across multiple objectives. It also offers scalability to larger urban contexts, contributing to more adaptable, sustainable construction. The aim of this study is to develop a computational design methodology that enables the generation, evaluation, and optimisation of modular floor plans using algorithmic logic and spatial constraints. It seeks to bridge the gap between conceptual digital design and practical implementation in high-rise modular architecture.
Farnaz Rahimifard (Mon,) studied this question.