Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
An evolutionary linear programming algorithm for solving the stock reduction problem
International Journal of Computer Applications in Technology
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The loading paths in Tube Hydroforming (THF) have critical effects on the final part quality. In this paper, a novel method of optimisation for the loading paths is developed for T-part. On the basis of the theoretical analysis proposed in the previous research, a Genetic Algorithm (GA) combined with FE codes is employed to search the optimal stress ratios. According to the optimal stress ratios, the optimal internal pressure and axial feed are obtained by using the engineering computation expressions deduced. The results show that the simulation results have good agreements with the experiment results. The optimal loading paths have successfully been applied for producing tee coupling.