International Journal for Numerical Methods in Engineering · 1999 · 38 citations · 13 references
ArchitectureComputational EngineeringMathematicsComputational MechanicsDesign OptimizationOptimizationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsHeuristic OptimizationStructural OptimizationTruss AnalysisEvolutionary AlgorithmsGenetic Algorithm Based DesignGenetic Algorithm OptimizationGenetic Algorithms For DesignOptimal DesignOptimal Design Of TrussesOptimization Of Truss StructuresTruss Structure Design
A regional genetic algorithm (R-GA) is used for the discrete optimal design of truss structures. The chromosomes are selected from a sub-region centred on the continuous optimum. This approach replaces genetic rebirth as previously proposed by other authors, thereby significantly reducing computational costs. As a pure discrete method, the R-GA method does not require heuristic arguments or approximations. This makes the algorithm highly effective when buckling and slenderness constraints with scatter in the data are introduced. A large set of numerical test examples is used to illustrate the capabilities of the method. The algorithm is shown to be effective and robust, making it suitable for the optimal design of very large truss structures. Copyright © 1999 John Wiley & Sons, Ltd.
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