Visualization system for identifying an evolutionary algorithm parameterization effect
An evolutionary algorithm and parameterization technology, applied in the field of visualization systems, can solve the problems of not systematically considering the parameterization effect, unclear parameter values of the evolutionary algorithm, unfavorable evolutionary algorithm potential, etc., so as to overcome the uncertainty of parameters and reduce blindness. performance, improve the effect of optimization
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Embodiment 1
[0032] Such as figure 1 as well as figure 2 As shown, a visualization system for identifying parametric effects of evolutionary algorithms, including a numerical calculation module, a graphic configuration module, a drawing parameter preprocessing module, and a graphic generation module;
[0033] The numerical calculation module is used to select the evolutionary algorithm and the problem to be solved, to construct several sets of value combinations of the parameters of the evolutionary algorithm, to set the value of each set of parameters and perform independent optimization calculations, and to evaluate the optimization of each set of parameters Effect, send the data to the drawing parameter preprocessing module;
[0034] The graphic configuration module is used to configure the color options of each layer of the compass diagram and the color saturation and filling style of a ring in the compass diagram corresponding to the value of each parameter, and send the data to the...
Embodiment 2
[0047] Such as figure 1 , figure 2 as well as image 3 As shown, in this embodiment, the classic second-generation non-dominated sorting genetic algorithm (NSGA-II) in the evolutionary algorithm is used as an example to solve the problem of pipe diameter optimization design of the water supply pipe network system, including the following steps:
[0048] Step 1: Configure the parameters of NSGA-II and obtain the optimization results. NSGA-II mainly has 5 parameters, choose 2 sampling points for each parameter, then there are 2 5 = 32 different parameter combinations. First, set the specific values of each parameter of NSGA-II in the "Numerical Calculation Module". For each parameter combination, the optimization calculation program was run independently 100 times, and the above calculation results were summarized to obtain 32 groups of approximate optimal solutions for the optimal design problem of the water supply pipe network system diameter. Then, the number of times...
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