Coarse-Grain Parallel Meta-Genetic Algorithms in the Optimization of Truss-Structure Design
نویسندگان
چکیده
In this study, a coarse-grain parallel meta genetic algorithm (GA) with dynamic connection scheme has been designed. In order to show the efficiency and robustness of this model, it is implemented on the problem of finding optimal crosssectional size, topology and configuration of 2D and 3D trusses to achieve minimum weight. Stress, deflection and kinematic stability are regarded as constraints. The results show that this method finds trusses which have smaller weight and better configuration than those, reported in the literature. Finally, the speedup and performance of a number of coarse-grain GAs with various migration methods and connectivity schemes are investigated and compared to show the capability of this new approach.
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