Optimal parameter decision-making method under multi-objective strategy for ship longitudinal motion
A technology of longitudinal movement and optimal parameters, which is applied in data processing applications, complex mathematical operations, instruments, etc., can solve the problems of discontinuous objective function and large overhead, and achieve a simple and practical method, simple method, and strong flexibility Effect
Active Publication Date: 2021-06-18
HARBIN ENG UNIV
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Therefore, evolutionary algorithms are especially suitable for solving optimization problems that cannot calculate gradient information or require a lot of overhead to calculate gradient information, the objective function is discontinuous, and cannot be solved by traditional optimization algorithms.
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[0046] (1) According to the obtained multi-objective optimization, the final Pareto front surface is obtained to obtain the final array of N sets of objective function values (f 1,1 ,f 2,1 ),(f 1,2 ,f 2,2 ),...,(f 1,N ,f 2,N ), with values such as Figure 4 shown.
[0047] (2) Select customer preferences. If the client wants high precision of heave parameter identification but does not require pitch fitting accuracy, go to (3); if the client wants high pitch parameter identification accuracy but does not require heave fitting precision, go to (4); If the customer wants high-precision output for both pitch and heave, then go to (5).
[0048] (3) Find the minimum f 1 The subscript corresponding to the value, denoted as n 1_min , then choose point as the optimal output point.
[0049] (4) Find the minimum f 2 The subscript corresponding to the value, denoted as n 2_min , then choose point as the optimal output point.
[0050] (5) to f 11 ,f 12 ,..., f 1N S...
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The invention relates to an optimal parameter decision-making method under the multi-objective strategy of longitudinal motion of a ship. If the customer wishes to have high pitch parameter identification accuracy, the individual corresponding to the minimum value of the pitch fitting error objective function is output as the optimal parameter solution; if the customer wishes If the identification accuracy of heave parameters is high, the individual corresponding to the minimum value of the heave fitting error objective function will be output as the optimal solution of the parameters; The points on the dimensional plane are arranged according to the data in one dimension from small to large, and the data in the other dimension follows the changing position. Choose a point arbitrarily, do least squares straight line fitting for all points on the left side of the point, and find the fitting error; also perform least squares straight line fitting for each point on the right side of the point, and find the fitting error, then the point The total error is recorded as the sum of the above two fitting errors, and the individual corresponding to the minimum point of the total error is taken as the optimal solution, so as to realize the selection of different optimal parameter outputs according to different needs.
Description
technical field [0001] The invention relates to a method for decision-making of longitudinal motion parameters of a ship, in particular to a method for decision-making of optimal parameters under a multi-objective strategy for longitudinal motion of a ship, and relates to two major fields of multi-objective optimization and parameter fitting of ship motion. Background technique [0002] In multi-objective optimization problems, the optimization objectives are interconnected and constrained by each other, and the performance improvement of one optimization objective usually leads to the performance degradation of at least one other optimization objective, that is, it is difficult for multiple optimization objectives to obtain optimal results at the same time. Therefore, a better approach is to coordinate among multiple goals and find a compromise solution. [0003] Evolutionary algorithm is a kind of heuristic search algorithm that simulates the behavior of "survival of the f...
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IPC IPC(8): G05B13/02G06F17/17G06Q10/04
CPCG05B13/024G06F17/17G06Q10/04
Inventor 戴运桃刘利强程然姚新
Owner HARBIN ENG UNIV