ESR4

Category

Learning From Physical Data

Learning From Physical Data

AUTHOR:
Zeynep Aksöz

 

In this phase of the project the possibilities of working with physical design artifacts were investigated. The experiment was aiming to learn from the designers tacit knowledge by analyzing physical models and their performances created by the designers, to design new...

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Human Machine Interaction

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...

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ESR 4  –  Multi-Criteria Optimization in Early Design Phase

ESR 4 – Multi-Criteria Optimization in Early Design Phase

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...

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ESR04- INTERACTIVE MULTIPLE CRITERIA SEARCH IN EARLY DESIGN PHASE

ESR04- INTERACTIVE MULTIPLE CRITERIA SEARCH IN EARLY DESIGN PHASE

 

 
Early design phase needs a search strategy that supports the ambiguous nature of design, which can give the designer complete freedom of investigating the design instances with all their trade-offs, rather than limiting the designer with vaguely defined criteria to optimize for....

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Zeynep Aksöz

Zeynep Aksöz

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.

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