Software optimization method using combined method of mixed discrete variables
The data input process includes several key components. First, the optimized design target input involves defining the number of control function calls. Second, the raw data input for optimization includes parameters such as sprung mass, number of springs, spring width, material elastic modulus, stiffness correction coefficient, middle thickness, length, end allowable stress, maximum allowable stress, design stiffness, and allowable stiffness error. Third, the initial values for design variables must be provided, such as the end thickness, middle thickness, and length of the leaf spring. Lastly, auxiliary functions and termination conditions are defined, including the total number of optimized design variables, the stopping criteria for discrete compound operations, the objective function barrier limit (e.g., 10,000 iterations), and the selection of a mixed discrete combination method.
When entering original data, several important considerations should be taken into account. First, all design variable initial values must lie within their respective upper and lower bounds, with the lower bound always being less than the upper bound. Second, the optimized design variables in this study are all uniformly discrete variables, and a precision value of 0.001 is typically used. Third, the operation termination condition can be set to a value between 0.5n and n, where n represents the total number of design variables. The objective function barrier termination condition is generally set to 10,000 iterations. Fourth, the selection of optimization auxiliary functions can be either single-choice or multi-choice, depending on the requirements. Finally, the software uses a hybrid approach combining mixed discrete variables. After the initial data calculation is complete, the optimization process begins. If the optimization is successful, a success interface is displayed. Once the results are computed, they can be shown on the screen or saved to a file for further analysis or documentation.
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