Optimization of curved roof surface design using GA

Heng Li, H. L. Guo, S. C W Kong, Zhen Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


Purpose: Due to the increasing complexity of curved roof surface design and the inadequate optimisation algorithms in design software, the optimisation of curved roof surface design needs to be studied further. The purpose of this paper is to develop an alternative approach to improve the efficiency and effectiveness of curved roof surface design of buildings. Design/methodology/approach: To achieve the purpose, an optimisation method/tool is developed through reviewing the application of CATIA and integrating genetic algorithm with CATIA; and the effectiveness to perform the GA-based optimisation method is demonstrated by using a real-life case study. Furthermore, a comparison among different optimisation algorithms currently available in the CATIA system is conducted. Findings: Through the case study and the comparison, it is found that the GA-based method can improve the performance of optimisation for curved roof surface design in the CATIA system; however, further research work is required for the best global optimisation result. Originality/value: The paper proposes an optimisation method for curved roof surface design through integrating genetic algorithm with CATIA. This method improves the current method of curved roof surface design.
Original languageEnglish
Pages (from-to)345-359
Number of pages15
JournalJournal of Engineering, Design and Technology
Issue number3
Publication statusPublished - 4 Oct 2012


  • Building design
  • Curved roof design
  • Genetic algorithm
  • Optimum design
  • Roofs

ASJC Scopus subject areas

  • General Engineering


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