Structural and Multidisciplinary Optimization
Hybrid fuzzy-genetic system for optimising cabled-truss structures
Advances in Engineering Software
Sensitivity analysis of fuzzy-genetic approach applied to cabled-truss design
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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An adaptive genetic algorithm based on a normal sparse node matrix encoding approach is developed to handle the topology and sizing optimization of truss structure. New crossover and mutation operators are developed based on matrix chromosome. Self-adaptive strategy is utilized to enhance the robustness of genetic algorithm. Kinematically instable and structurally invalid individuals are filtered and repaired before evaluation to save computation time. Two truss examples are investigated for verification and validation. Numeric experiments show that the convergence and robustness of the algorithm developed in this paper are better than those of MIGA (Multi-Island Genetic Algorithm), especially in complicated examples.