Optimizing the Cross Section of Cold-Rolled Steel Beams Using a Genetic Algorithm: Avoiding Local Optima Using Adaptive Mutation Control, Flexible Restriction Handling and Inbreed Avoiding Mating Strategies
Journal Title: Trends in Computer Science and Information Technology - Year 2016, Vol 1, Issue 1
Abstract
In modern mechanical engineering and steelwork the use of cold-rolled steel sections is a standard method. These sections should be mechanically stable on the one hand and cost efficient on the other hand. To decide what profile suits for a certain case is a constrained optimization problem which is in general non convex, i.e. several local optima exist.
Authors and Affiliations
Esterhammer Florian, Wolf Christoph, Stadler Anna Theresia, Baumgartner Werner
Keywords
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- EP ID EP543519
- DOI 10.17352/tcsit.000001
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