CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id acadia15_357
authors Ashour, Yassin; Kolarevic, Branko
year 2015
title Heuristic Optimization in Design
source ACADIA 2105: Computational Ecologies: Design in the Anthropocene [Proceedings of the 35th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-53726-8] Cincinnati 19-25 October, 2015), pp. 357-369
summary This paper presents a workflow called the ‘heuristic optimization workflow’ that integrates Octopus, a Multi-Objective Optimization (MOO) engine with Grasshopper3D, a parametric modeling tool, and multiple simulation software. It describes a process that enables the designer to integrate disparate domains via Octopus and complete a feedback loop with the developed interactive, real-time visualization tools. A retrospective design of the Bow Tower in Calgary is used as a test case to study the impact of the developed workflow and tools, as well as the impact of MOO on the performance of the solutions. The overall workflow makes MOO based results more accessible to designers and encourages a more interactive ‘heuristic’ exploration of various geometric and topological trajectories. The workflow also reduces design decision uncertainty and design cycle latency through the incorporation of a feedback loop between geometric models and their associated quantitative data. It is through the juxtaposition of extreme performing solutions that serendipity is created and the potential for better multiple performing solutions is responsive systems, which focus on the implementation of multi-objective adaptive design prototypes from sensored environments. The intention of the work is to investigate multi-objective criteria both as a material system and as a processing system by creating prototypes with structural integrity, where the thermal energy flow through the prototype, to be understood as a membrane, can be controlled and the visual transparency altered. The work shows performance based feedback systems and physical prototype models driven by information streaming, screening, and application.
keywords Multi-Objective Optimization, Generative Design, Performance-Based Design
series ACADIA
type normal paper
full text file.pdf (8,911,893 bytes)
references Content-type: text/plain
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