Software optimization method using combined method of mixed discrete variables
The data input process includes four main components: 1) the optimized design target input, which refers to the number of control function calls; 2) the raw data input for the optimization design, 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 stiffness error; 3) the initial value input for the design variables, including leaf spring end thickness, middle thickness, end thickness, and leaf spring length; 4) the auxiliary function and termination condition input, such as the total number of optimized design variables, the termination condition for discrete compound operations, the objective function barrier termination condition, and the selection of mixed discrete combination methods.
When entering the original data, several important points should be taken into consideration. First, the initial values of all design variables must fall 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 paper 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 0.5 and n, where n represents the total number of design variables, while the objective function barrier termination condition is usually set to 10,000 iterations. Fourth, the selection of the optimization auxiliary function can be either single-choice or multi-choice. Lastly, the software uses a method that combines mixed discrete variables. After completing the original data calculation, the optimization process begins. If the optimization is successful, an "Optimization Success" interface will appear. Once the results are calculated, they can be displayed on the screen or saved to a file for further analysis or documentation.
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