Evaluation of parametric multi-objective optimization and decision support tool for flexible industrial building design

Abstract

Parametric multi-objective optimization tools bear potential to integrate, optimize, and explore design spaces to support interdisciplinary decision-making. A parametric optimization and decision support tool was developed (POD tool), and an evolutionary multiobjective optimization algorithm implemented (PMOOD tool) to automate design search for flexible integrated industrial building design. Both tools were tested within a user study, simulating an interdisciplinary industrial building design process. The POD tool is rated slightly higher by evaluating the users' satisfaction with process, outcome, collaboration and technology through questionnaires for quantitative and qualitative feedback. The results indicate potential for improvement and future research regarding the PMOOD tool.