A MULTI-OBJECTIVE GENETIC ALGORITHM FRAMEWORK FOR EARLIER PHASES OF ARCHITECTURAL DESIGN A Case Study


Kocabay S., Alaçam S.

22nd CAADRIA Annual International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA), Suzhou, China, 5 - 08 April 2017, pp.293-302 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Suzhou
  • Country: China
  • Page Numbers: pp.293-302

Abstract

This paper presents an algorithmic framework proposal for implementation of a multi-objective genetic algorithm (MOGA) in architectural design process. Different than the previous studies, we introduce a dynamic and extendible modular framework for multiple objectives. The objective modules with different fitness functions are connected simultaneously in the Rhino/Octopus interface, after multiplication with a constant value or a variable. In this study, we discuss the potentials and limitations of MOGA in 3D form generation, implications of MOGA in a case study and the qualitative and quantitative changes in relation to the change of constant value/the impact ratio of competing objectives. The outcomes of the case study are investigated based on its potentiality in providing feedback in the earlier phases of decision processes in design.