Human-Algorithm Interaction in Evolutionary Design Process
Abstract
At the advent of AI and highly sophisticated computational systems, the prospect of creating a collaborative system that integrates the strengths of human and algorithmic computational processes in architecture is rising as a subject of high significance. This research aims to establish a dialogue between the human and the algorithm through an interactive human-algorithm design method which relies on human designers interacting with the algorithmic processes to enable the capture of subjective design criteria. The algorithmic part consists of using evolutionary genetic algorithms that would incorporate objective (quantitative) and subjective (qualitative) design goals. Through its theoretical and experimental sections, the research seeks to contribute to the existing debate in the field of evolutionary algorithms in design, and to generate new knowledge regarding interactive genetic algorithms and their capacity to support subjective design choices in architecture.
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