• Read
  • Publish
  • About


Explore current and past TAD issues and related content.

Current Issue

Learn more about our current issue

Past Issues

Browse our compilation of past issues


Webinars, videos, articles and more


View submission guidelines, learn more about our review process and find helpful recommendations for publishing work in TAD Journal.

Call for Papers

Submit work for our next issue

Author Guide

Explore editorial tips and recommendations


TAD Journal is a peer-­reviewed international journal dedicated to the advancement of scholarship in the field of building technology and its translation, integration, and impact on architecture and design.

Our Mission

Learn more about our vision and values

Editorial Board

Meet the minds bringing our mission to life

Advisory Board

Meet the experts shaping TAD’s future

Issue 6.1

Decoding the Architectural Genome: Multi-Objective Evolutionary Algorithms in Design

The application of population-based optimization algorithms in design is heavily driven by the translation and analysis of various data sets that represent a design problem; in evolutionary-based algorithms, these data sets are illustrated through two primary data streams: genes and fitness functions. The latter is frequently examined when analyzing the algorithm’s output, and the former is comparatively less so. This paper examines the role of genomic analysis in applying multi-objective evolutionary algorithms (MOEA) in design. The results demonstrate the significance of utilizing the genetic analysis to understand better the relationships between parameters used in the design problem’s formulation and differentiate between morphological differences in the algorithmic output not commonly observed through fitness-based analyses.

Read Full Article (ACSA Member) Read Full Article (Non-member)