
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
Author(s) -
W Baumgartner
Publication year - 2016
Language(s) - English
DOI - 10.17352/pjcse.000001
Subject(s) - genetic algorithm , mating , section (typography) , local optimum , mutation , cross section (physics) , control (management) , computer science , algorithm , mathematical optimization , structural engineering , engineering , mathematics , biology , genetics , artificial intelligence , physics , gene , operating system , quantum mechanics