Provision of reinforcement in concrete solids using the generalized genetic algorithm

R. K L Su, L. W. Yan, C. W. Law, J. L. Huang, Yung Ming Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


A generalized genetic algorithm has been developed to find the global optimal reinforcement contents for a concrete solid structure subjected to a general three-dimensional (3D) stress field. Feasible solutions were examined based on the genetic algorithm, and the heterogeneous strategy used ensures that all of the local optimal regions are searched and the most optimal reinforcement content found. The effectiveness of the proposed approach has been validated by comparing the steel contents evaluated using the present method with those obtained from other available methods. A more economic design is achieved by the proposed algorithm. The method developed provides the designer with a valuable tool for the determination of reinforcements in complicated solid concrete structures.
Original languageEnglish
Pages (from-to)211-217
Number of pages7
JournalJournal of Computing in Civil Engineering
Issue number3
Publication statusPublished - 1 May 2011


  • Adaptive random mutation
  • Generalized genetic algorithm
  • Heterogeneous strategy
  • Population isolation
  • Reinforcement design
  • Three-dimensional stress field

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering


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