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Study of the sequential constraint-handling technique for evolutionary optimization with application to structural problems

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Author

Summary, in English

Engineering design problems are most frequently charac-terized by constraints that make them hard to solve and time-consuming. When evolutionary algorithms are used to solve these problems, constraints are often handled with the generic weighted sum method or with techniques specific to the prob-lem at hand. Most commonly, all constraints are evaluated at each generation, and it is also necessary to fine-tune different parameters in order to receive good results, which requires in-depth knowledge of the algorithm. The sequential constraint-handling techniques seem to be a promising alternative, be-cause they do not require all constraints to be evaluated at each iteration and they are easy to implement. They neverthe-less require the user to determine the ordering in which those constraints shall be evaluated. Therefore two heuristics that allow finding a satisfying constraint sequence have been developed. Two sequential constraint-handling techniques using the heuristics have been tested against the weighted sum technique with the ten-bar structure benchmark. They both performed better than the weighted sum technique and can therefore be easy to implement, and powerful alternatives for solving engineering design problems.

Department/s

Publishing year

2011

Language

English

Pages

521-531

Publication/Series

Proceedings of the 37th Design Automation Conference - DETC/DAC'11

Volume

5

Document type

Conference paper

Publisher

American Society Of Mechanical Engineers (ASME)

Topic

  • Production Engineering, Human Work Science and Ergonomics

Keywords

  • constraint-handling techniques
  • evolutionary computing
  • genetic algorithms
  • structural optimisation
  • Renaissance 2.0
  • machine design
  • maskinkonstruktion

Conference name

37th Design Automation Conference - DETC/DAC'11

Conference date

2011-08-29 - 2011-08-31

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-0-7918-5482-2