Journal
ENGINEERING STRUCTURES
Volume 30, Issue 12, Pages 3708-3723Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2008.06.014
Keywords
Structural optimization; Cardinality constraint; Genetic algorithm
Categories
Funding
- CNPq [311651/2006-2, 154674/2006-0]
Ask authors/readers for more resources
A genetic algorithm encoding which is able to directly enforce cardinality constraints is proposed to solve the practically important structural optimization problem where the set of distinct Values of the design variables (for instance, cross-sectional areas) must be a small Subset of a given set of available values. Furthermore, such encoding allows for automatic variable linking, relieving the user from the task of a priori choosing which design parameters Should be linked in each group. Very good results have been found in the numerical experiments - involving discrete and/or Continuous variables - using the proposed encoding within a standard binary coded genetic algorithm equipped with all adaptive penalty scheme. (C) 2008 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available