ESR04- MULTI-CRITERIA OPTIMISATION IN EARLY DESIGN PHASE


ESR04- MULTI-CRITERIA OPTIMISATION IN EARLY DESIGN PHASE
ESR: Zeynep Aksoz
ESR NUMBER: ESR4
INDUSTRIAL PARTNERS: Str.ucture + BIG
INSTITUTE: IOA

 

 
Evolutionary Search

 

Description:

The project examines the integration of advanced modelling and optimisation strategies to design workflow for managing and communicating multi-criteria optimisation. It focuses on novel strategies for the formulation of design problems within the setting of high performance, cloud-enabled, multi-objective search and optimisation . Today, the increase of computational resources and the rise of parametric CAD offer new possibilities to the field of building information systems. As the complexity of projects rises, new strategies are needed to serve as paradigmatic modelling techniques, implementing manifold information into the digital model while staying flexible and offering dynamic and interdisciplinary workflow. The project investigates different parameterisation methods, proposing the novel use of methods from computer graphics, simulated physics and developmental biology (global shape parameterization, field parameterization, Computational Pattern Producing Networks, etc.) while being based on well-established platforms for parametric modelling.

Zeynep Aksöz

Zeynep

IOA / ESR04- MULTI-CRITERIA OPTIMISATION IN EARLY DESIGN PHASE

ZEYNEP AKSÖZ is a PhD Candidate at the University of Applied Arts in Vienna in Institute of Architecture (IoA) http://i-o-a.at/. She is working on EU funded Research Project Innochain http://innochain.net/.

Her ongoing research topic is “Multiple Criteria Optimization in Early Design Phase”, where she focuses on the communication and integration of interdisciplinary… read more

Posts

Human Machine Interaction

Author: Innochain

The collaborative design strategy between human and artificial intelligence brings a new perspective into design thinking. Rather than using a top down strategy, where the designer searches for the preferred solution manually and optimizing the selected solution in a later step, s/he becomes the builder of the process, investigating the topological relations between the parameters... read more

Keywords:

ESR 4 – Multi-Criteria Optimization in Early Design Phase

Author: Zeynep Aksoz

ESR: Zeynep Aksoz ESR NUMBER: ESR4 INDUSTRIAL PARTNERS: BIG INSTITUTE: IOA     DESCRIPTION: Multiple criteria optimization is a method to find best fitting solution for a complex problem depending on several objectives mainly by maximizing or minimizing a mathematical function. This method is commonly used in engineering practices aiming to find one optimal solution... read more

Keywords: · AI · analysis · Communicating · Genetic Algorithms · Heuristics

Zeynep Aksöz

Author: Innochain

Her ongoing research topic is “Multiple Criteria Optimization in Early Design Phase”, where she focuses on the communication and integration of interdisciplinary information such as engineering performance, energy efficiency in the earlier design phases. read more

Keywords: