Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Use of Genetic Algorithms to Optimize Efficiency in Small-Scale Structures

Version 1 : Received: 28 March 2021 / Approved: 29 March 2021 / Online: 29 March 2021 (12:50:16 CEST)

How to cite: Chew, A. Use of Genetic Algorithms to Optimize Efficiency in Small-Scale Structures. Preprints 2021, 2021030692 (doi: 10.20944/preprints202103.0692.v1). Chew, A. Use of Genetic Algorithms to Optimize Efficiency in Small-Scale Structures. Preprints 2021, 2021030692 (doi: 10.20944/preprints202103.0692.v1).

Abstract

The prevalence of algorithms and computational tools in the modern-day has intersected with nearly every field. Generative design, specifically those using genetic algorithms, is an increasingly effective, yet cost efficient way to generate architectural designs in modern engineering. Thus, we adopt a genetic algorithm model in pursuit of maximizing the durability of a structure when it is stressed while minimizing the material cost. After the model is formulated, the algorithm is able to approximate with high accuracy the load a small-scale structure is able to bear, as well as iterate upon its designs to maximize a fitness function.

Keywords

Genetic algorithms, structures, algorithms, generative design

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