198 results about "Iterative method" patented technology

An iterative method for monitoring a computing device characterized by metric data to be monitored, including, for each iteration, of collecting metric data over a predetermined interval of time, detecting a seasonality pattern of said metric data over said predetermined interval of time, determining an interval-specific model representing the detected seasonality pattern, calculating modelled data using said determined model and the collected metric data, comparing the calculated modelled data with the collected metric data to calculate a score characterizing the difference between the calculated modelled data and the collected metric data, calculating an anomaly likelihood for each data of the collected metric data using the calculated score, detecting an anomaly on a data when probability that the value of said data is an anomaly is greater than a predetermined threshold.

The invention discloses a circular foundation pit diaphragm wall deformation calculation method and system based on a vertical elastic foundation beam. The method comprises the steps that S100, a design scheme and design parameters of a circular foundation pit are collected; s200, establishing a vertical elastic foundation beam calculation model of the circular foundation pit supporting structure, and inputting the design scheme of the circular foundation pit into the model; s300, dispersing the beam into a plurality of calculation points, dividing the excavation step into a plurality of load increment steps, and calculating each load increment step of the beam; and S400, based on the load increment step of the beam, calculating an accumulated deformation amount, and outputting the accumulated deformation amount. A bending equation of a vertical elastic foundation beam is adopted to establish a calculation model of a circular foundation pit supporting structure, an inner supporting structure is introduced into the bending equation of the beam, the excavation process is decomposed into a plurality of excavation steps and increment steps, an iteration method is adopted for calculation, and the soil pressure distribution and deformation process of each stage in the excavation process is accurately simulated. Therefore, the accuracy of deformation calculation of the circular foundation pit diaphragm wall is improved.

The invention discloses a water level prediction method based on an improved intelligent algorithm, a readable storage medium and a device, and belongs to the technical field of water level prediction.The method comprises the steps that normalization preprocessing is conducted on original hydrological data of multi-source information, and an original water level sequence is obtained; performing VMD decomposition on the original water level sequence to decompose the original water level sequence into modal components; inputting the modal component into an LSTM model to construct a prediction model; and inputting an original water level sequence of recent multiple days into the prediction model, generating a predicted value of a future date based on an iteration mode, and restoring to obtain real water level data through reverse normalization processing. A computer program is stored in the readable storage medium, and the method is carried out when the computer program is executed. The apparatus includes a memory, a processor, and a terminal program stored in the memory and operable in the processor. Water level influence factors can be comprehensively considered, multiple variables are fused, the water level condition closer to the reality is obtained through analysis, and the water level prediction precision is improved.

The invention provides a financial research report generation method based on a large model. Comprising a data collection module, a data analysis module and a report writing module. The data collection module is used for receiving a predefined data collection task and an autonomously generated data collection task, then inputting the tasks into a deep search agent, and constructing a structured multi-modal memory for a search result for storage; the data analysis module constructs a data analysis agent, and realizes the generation of a structured multi-modal small report through cooperation of a financial calculation tool, a chart generation tool and a reference addition tool in an actor-reviewer iteration mode in which a large language model is matched with a visual language model; and the report writing module constructs a report writing agent to obtain a chapter first draft and then inputs the chapter first draft into the post-processing agent to obtain a final report. The problems that an existing deep research system and a large language model agent in the financial field are lack of financial field knowledge, limited in multi-modal ability, limited in research and report generation depth and comprehensiveness and the like are solved.

The application discloses a kind of gas-liquid two-phase flow numerical simulation method considering coalbed gas desorption lag, comprising the following steps: using well logging, indoor experiment means to obtain productivity calculation parameter;Desorption equation of matrix system is defined in combination with desorption lag effect, diffusion equation;Gas-water two-phase percolation equation of fracture system is defined, and desorption equation of matrix system, diffusion equation is combined, and double medium gas-water two-phase coupling flow equation set is formed;The porosity and permeability change of matrix system and fracture system in production process is calculated respectively, and the physical property change equation set of double medium is deduced;Using the numerical solver of COMSOL, the coupling equation set is solved using iterative method, and the gas production and water production are calculated.The application is simple to operate, can more scientific and reasonable assess the influence of coalbed gas desorption lag effect on gas well productivity, while greatly reducing the cost and time of gas well numerical simulation calculation, and also has important inspiration for other unconventional gas reservoir development affected by desorption lag.

The embodiment of the invention provides a calculation method and device for boundary parameters of a supercritical fluid heat exchanger, computer equipment and a medium, and relates to the technical field of fluid mechanics and heat transfer science calculation.The method comprises the following steps that design parameters and target working conditions of the heat exchanger are obtained; calculating to obtain the single section length of each infinitesimal section; based on the initial inlet pressure guess value, according to the length of the single section and the pressure and the temperature of the infinitesimal section i, the pressure and the temperature of the infinitesimal section i + 1 are obtained through calculation, the difference value between the outlet calculation pressure and the target outlet pressure is calculated, and the difference value serves as a pressure error; if the pressure error is greater than the convergence tolerance, updating the inlet pressure guess value by adopting a numerical iteration method, and performing iteration again based on the inlet pressure guess value after iteration; otherwise, iteration is terminated, and the final inlet pressure value and the final outlet temperature value are output. According to the scheme, the calculation efficiency and accuracy of solving the inlet pressure and the outlet temperature of the supercritical fluid heat exchanger under the given target outlet pressure are improved.

The invention relates to the technical field of power systems, and discloses a wind and light output scene-oriented power system power flow data reconstruction method, system and device and a medium, and the method comprises the steps of constructing structured boundary input data; generating a voltage amplitude and a phase angle estimation vector of each node through a deep neural network model, and taking the voltage amplitude and the phase angle estimation vector as a power flow initial solution; performing physical constraint check on the initial solution, identifying out-of-limit nodes and determining an adjustable point set with reactive power regulation capability; and in the range of the adjustable point set, constructing an optimization function, solving to obtain a local adjustment quantity, correcting the initial solution, and generating a final power flow solution meeting the operation constraint of the power system. According to the method, data-driven modeling and physical constraint checking are fused, overall mapping is performed on a high-dimensional scene formed by wind and light output and load by using the deep neural network, the problem that the convergence performance is sharply reduced when the dimension is increased and the number of scenes is increased in a traditional iteration method is avoided, and rapid, stable and engineering-available power flow data generation is realized.

The invention discloses a low-altitude flight path planning method based on grid coding, which relates to the technical field of path planning, and is characterized in that on the basis of space and time grid coding, an A * path planning algorithm is improved, a neighbor node range in a classical algorithm is expanded, pruning optimization for removing invalid neighbors is applied to the A * path planning algorithm, and the path planning efficiency is improved. Relatively fast searching and establishment of a smooth grid path meeting the motion constraint become possible; an algorithm for interpolating a track on a grid path at equal time intervals is introduced; comprising the following steps of: thinning and smoothing a grid path; carrying out mathematical modeling on a flight state of the unmanned aerial vehicle; calculating flight segment initial and final speeds and flight segment middle cruising speeds which meet the motion performance constraint of the unmanned aerial vehicle and the consistency between flight segments by a backtracking iteration method; and calculating specific flight path points by speed integration. And a relatively accurate unmanned aerial vehicle flight plan track prediction generation method is provided.

Lowest cost usage scheduling of an energy system during a time interval of interest is achieved by utilizing two components of learning and optimization. First, several learning methods are used to forecast energy production and if needed energy consumption of a given group of energy components as a function of historical production data, weather, and solar irradiance data collected from weather and geo reports. A classification approach is used to select the learning model. A classification approach is used to select the learning model and approach. Then, an optimization problem is formulated and solved to create the optimal schedule of energy usage during time intervals of interests for the given group of energy components subject to scheduling and equipment constraints. Accordingly, integrated iterative methods, programs, and systems are described aiming at minimizing the cost of energy consumption for the given group of energy components within time intervals of interest.

The invention relates to the technical field of computer aided design, in particular to a neighborhood gradient-oriented large-curvature curved surface projection point calculation method, which comprises the following steps of: S1, calculating a space bounding box of a curved surface to be projected, and performing triangulation to generate a triangular mesh; s2, traversing curved surface control vertexes of the triangular mesh, recording an adjacent vertex set, and judging whether the vertex set is a boundary point or not according to the UV parameter coordinates; s3, storing the vertex information and constructing a BVH tree, traversing the BVH tree for a to-be-projected point, querying and obtaining the nearest vertex with the minimum distance from the to-be-projected point, judging whether the nearest vertex is a boundary point or not, and processing according to a judgment result to obtain an iteration initial value; and S4, constructing a target function by taking the iteration initial value as an initial value, and calculating by using a Newton iteration method to obtain an accurate projection point of the to-be-projected point on the curved surface. The curved surface projection point approximation result calculation method is high in calculation efficiency and robustness, and the influence of curvature, grid division and other factors on Newton iteration input is reduced.

The invention discloses a power distribution network load flow calculation method based on a full-pure embedding theory. The power distribution network load flow calculation method comprises the following steps: (1) establishing a full-pure embedding load flow calculation model of a two-node system consisting of a balance node and a PQ node by applying a full-pure embedding method; (2) deriving and expanding based on the full-pure embedded load flow model of the two-node system established in the step (1) to obtain a full-pure embedded load flow calculation model of a multi-node system comprising a balance node and N PQ nodes; and (3) completing power flow calculation of the power distribution network by using the full-pure embedded power flow calculation model of the multi-node system. Compared with the Newton-Raphson method, the method has the advantages that the difference is small, the calculation time is greatly shortened, and the accuracy and the high efficiency of the method are remarkably improved compared with those of the Newton-Raphson method which is an iterative method.

The invention relates to the technical field of bearing assembly, in particular to a rolling bearing assembly optimization method and system based on a particle swarm algorithm. The method comprises the following steps: discretizing a contact area and correcting a local curvature by acquiring the material modulus and the microcosmic waviness of a bearing assembly, and generating an infinitesimal stiffness mapping matrix; then, an assembly parameter vector is constructed, the Newton-Raphson iteration method is used for solving the real displacement, meeting force balance, of the inner ring, a stiffness time-varying curve is synthesized, and a closed-loop pre-tightening response spectrum is generated; and finally, defining a stiffness ripple robust index containing a stiffness variance and a gradient penalty term, and optimizing and outputting an assembly instruction through a hybrid coding particle swarm optimization algorithm. According to the method, the geometric error complementary effect of parts can be effectively utilized, the rigidity fluctuation in the rotation period is eliminated, and the dynamic precision and the process robustness after the bearing is assembled are remarkably improved.

The invention relates to the technical field of hydrographic survey, in particular to a riverway water flow calculation method, which comprises the following steps: acquiring topographic data, hydrological data and roughness data, and constructing a one-dimensional riverway hydrodynamic numerical model; the one-dimensional river channel hydrodynamic numerical model is based on a discontinuous finite element method and a Runge-Kutta time discrete shallow water equation set, and a numerical flux is solved by combining an essential oscillation-free ENO slope limiter and an HLL Riemann solver; aiming at the confluence situation of tributaries in different intervals, the interval flow is calculated by utilizing an iterative method, including initially assuming that the tributary flow is zero, simulating non-tributary outflow by using a one-dimensional river hydrodynamic numerical model, determining the difference between the simulated non-tributary outflow and actual site flow measurement, and adjusting the tributary flow; and iteration is repeated until the error between the simulated outlet flow and the actual outlet flow reaches the preset precision. By constructing a one-dimensional river water power numerical model based on a Runge-Kutta time discrete shallow water equation set, high-precision simulation of river water flow calculation under the condition of branch flow convergence in different intervals is realized.

The present application relates to the technical field of chemical process digital twinning, and discloses a physical property mixing solving method, device, equipment and medium applied to digital twinning, comprising: obtaining physical property data of a digital twinning system; establishing a state equation and a state equation coefficient corresponding to the digital twinning system according to a mixing rule and the physical property data; calculating a discriminant by using the state equation coefficient, and determining that the state equation has three real number solutions or a single real number solution by using the discriminant; when the state equation has three real number solutions, calculating a compression factor of a target phase state by using an analytical method; when the state equation has a single real number solution, calculating the compression factor of the target phase state by using an iterative method; and simulating and optimizing the digital twinning system by using the compression factor to obtain an optimized target digital twinning system. The present application improves the solving speed of the state equation on the basis of meeting the robustness requirement of state equation solving, and significantly improves the overall performance of the calculation speed of the chemical process digital twinning system.

This invention discloses a calculation process and speed-up method for remote coordinated adjustment of various power electronic devices, including the following steps: 1) acquiring input power system data and establishing physical models of various power electronic devices; 2) calculating a modular local sensitivity matrix based on the physical models of the power electronic devices; 3) calculating the target physical quantity y; 4) obtaining the minimum change Δu of the control parameters of the power electronic devices during the k-th alternating iteration through pseudo-inverse calculation based on the modular local sensitivity matrix and the target physical quantity y. (k) and update the control parameter u (k+1) =u (k) +Δu (k) 4) Determine whether the active power of the tie line and the alternating iterative power flow both satisfy the convergence criterion at the k-th iteration. If so, output the control parameters of the power electronic equipment; otherwise, return to step 2). This invention can reuse the calculation results of the alternating iterative method and directly obtain the local sensitivity calculation, thus improving the solution efficiency of the remote coordinated adjustment strategy.

The application belongs to the field of gear transmission system squeeze film damper damping, especially relates to a kind of gear squeeze film damper damping quick calculation method and system, obtains the structural parameter of squeeze film damper, carries out velocity calculation and constructs the Reynolds equation of squeeze film damper oil film pressure;Based on half-step center finite difference method, the Reynolds equation is solved, and the oil film distribution pressure of oil film damper is obtained;Based on oil film distribution pressure, the oil film counterforce of oil film damper is calculated using double integral algorithm.Compared with the classical short bearing approximate solution and long bearing approximate solution, its use range is wide, and compared with super relaxation iteration method, its calculation efficiency is high.Make it can be used in gear dynamics model to carry out damping analysis.When solving fluid Reynolds equation by finite difference method, only the working condition with regular boundary condition can be processed.Based on variational principle and Galerkin method, a new more general finite element method is proposed to calculate the oil film counterforce of SFD.

This invention discloses a method and apparatus for calculating the three-phase asymmetrical short-circuit current in a distribution network considering photovoltaic (PV) power. The method includes: before a fault, using power flow calculations to obtain the node voltage and injected current of each node, including the PV node, during normal operation; equating the power source to a current source and the load to an impedance based on Norton's equivalent; calculating the admittance matrix based on an equivalent circuit model after a three-phase asymmetrical short-circuit fault; and constructing a network equation for the PV short-circuit calculation node impedance suitable for Gaussian iteration; simultaneously establishing nonlinear piecewise expressions for the voltage and current of the renewable energy node; and solving for the current and voltage during a renewable energy fault using an iterative method to obtain the fault short-circuit current. By constructing the admittance matrix and corresponding voltage and current expressions for single-phase-to-ground short circuits and two-phase-to-phase short circuits, and using iterative calculations to derive the final result, the accuracy of the calculation is improved.

This invention discloses a method for calculating the flow rate of a single compressor in a continuous wind tunnel parallel compressor system, relating to the field of supersonic wind tunnel operation and commissioning. The invention uses the mass flow rate of the wind tunnel nozzle as a benchmark for the total flow rate; pre-determines the constant-speed total pressure ratio performance curves of each individual compressor and parameterizes them into a continuous constant-speed total pressure ratio performance mathematical model; during wind tunnel operation, the rotational speed and total pressure ratio of each compressor are measured in real time, and the reduced flow rate is obtained by solving inverse functions or using iterative methods. The initial mass flow rate of each compressor is calculated by combining the inlet total pressure and inlet total temperature; finally, corrections are made based on the deviation between the nozzle mass flow rate and the sum of the initial mass flow rates of each compressor to obtain the actual mass flow rate of each compressor. This achieves accurate determination of the flow rate of each individual compressor in parallel operation, providing a guarantee for the establishment of the target flow field and operational safety in the wind tunnel test section.

The application discloses a kind of generation binary space constraint X-ray coherent diffraction image recovery method.This application is used to realize from the coherent X-ray diffraction image of acquisition recovery out sample image to be measured, using the method of deep learning with good predictive ability to generate corresponding space constraint support to X-ray coherent diffraction image, then it is carried out HIO phase iteration, the application can make up the condition that space constraint is not accurate in traditional HIO iterative method, and then can be more quickly converged, higher quality is recovered;Compared with directly using deep learning image recovery method, the result of the application is more accurate, there is no pixel error situation, can realize through small amount of iteration recovery better result, improve the robustness of X-ray diffraction image recovery.

The invention discloses a power distribution network and user oriented energy storage cooperation configuration optimization method and a storage medium. The method comprises the following steps: establishing a cooperation energy storage system model comprising power distribution network side energy storage and user side energy storage serving multiple users; constructing a target function with the minimum sum of the cost of the collaborative energy storage system, the network loss cost of the power distribution network and the energy consumption cost of the user as a target, and setting an operation constraint of the collaborative energy storage system, a power flow safety constraint of the power distribution network and a power balance constraint of the user; and solving the target function and the constraint condition by adopting an iterative method embedded mixed integer linear programming method to obtain the optimal configuration capacity of the energy storage of the power distribution network side and the user side and the optimal access point scheme of the energy storage of the power distribution network side. The operation performance of the power distribution network can be improved, and the energy storage configuration of the power distribution network and the user side is optimized.

The invention discloses a multi-source data adaptive fitting method for a liquid hydrogen storage tank bench test, which comprises the following steps: synchronously acquiring multi-source sensor data in the liquid hydrogen storage tank bench test in real time, and preprocessing the data to obtain preprocessed real-time data; establishing a physical priori constraint equation based on a low-temperature thermodynamic law and a heat transfer mechanism, embedding the physical priori constraint equation into a data fitting objective function, performing physical constraint, and determining energy conservation, phase equilibrium and heat transfer boundary conditions required to be met by a fitting result; extracting data features of the preprocessed real-time data, matching the data features with a preset working condition feature library, and performing working condition identification to obtain a current test working condition identifier; adjusting regularization parameters by adopting an iteration method according to the current test working condition identifier, the data fitting residual error and the noise level; and carrying out data fitting by combining physical constraints, current test working condition identifiers and the adjusted regularization parameters, and inverting the state parameters in the storage tank. The algorithm can provide a reliable basis for design optimization and safety evaluation of the liquid hydrogen storage tank.

An iterative method for navigation of a vehicle includes receiving a set of satellite navigation data for the vehicle, a validity time of the set of satellite navigation data, and a series of sets of inertial navigation data. The method also includes processing the received set of satellite navigation data together with a current position, velocity and attitude value of the vehicle and a previous prediction of error states to generate an estimated position, velocity and attitude and a prediction of error states. The method further includes carrying out a catch up process and, for subsequently received sets of inertial navigation data, iteratively using each received set of inertial navigation data and the new updated position, velocity and attitude value of the vehicle to calculate a new updated position, velocity and attitude value of the vehicle.

This invention relates to an optimization method for an electric-gas coupled system based on adaptive piecewise linearization. This invention considers the coordinated operation of the power system and the natural gas system, and can improve the overall efficiency of the energy system through multi-energy complementarity, promote the absorption of new energy sources, and simultaneously improve the safe and reliable supply of electricity and natural gas. In the calculation process, the number of segments in the linearized pipeline airflow equation obtained through piecewise linearization is adaptively determined. Specifically, the number of segments and segmentation points are dynamically divided using an iterative method, gradually increasing the number of segments and segmentation points. This approach, while ensuring computational accuracy, introduces the minimum number of segmentation intervals and determines the optimal segmentation point location. This transforms the optimal energy flow calculation of the electric-gas coupled system into a mixed-integer linear programming model, achieving an effective trade-off between solution accuracy and computational efficiency. Ultimately, it provides a feasible and efficient technical means for the optimal energy flow analysis of electric-gas coupled systems.

The invention provides an efficient simulation method for multi-axis laser processing of a complex curved surface based on key point interpolation, which is used for solving the problems that the simulation efficiency is improved through parallel calculation in the conventional pulse-by-pulse laser processing simulation method for the complex curved surface, but the improvement multiple is related to the parallel number; and the simulation efficiency improvement effect is very limited. According to the key point interpolation-based complex curved surface multi-axis laser processing efficient simulation method provided by the invention, a processing track of a complex curved surface is decomposed into a stable section and a non-stable section, and discrete sampling key point pulses are selected on the stable section for iterative calculation; according to the method, two adjacent key point pulses are adopted, interpolation calculation is carried out on the non-key point pulses between the two adjacent key point pulses, the morphology obtained through interpolation is almost consistent with the morphology calculated through an iteration method, the iteration calculation is replaced with the interpolation calculation while the simulation precision is guaranteed, the simulation calculation amount is effectively reduced, and the calculation efficiency is greatly improved.

The invention provides a self-adaptive flow control method based on printing content feature analysis, and relates to the field of thermal printer data flow control, and the method comprises the steps: segmenting a to-be-printed data flow, and obtaining an energy density value of each data segment based on extraction; a virtual heat value is calculated in an iteration mode, and physical printing time consumption is calculated; calculating transmission time consumption according to the byte number of the data segment and the effective transmission rate of the communication interface; acquiring actual time consumption of the data segment from sending completion to printing completion, obtaining an error ratio based on a ratio of the estimated time consumption to the actual time consumption, updating an error ratio queue by adopting a sliding window, calculating a standard deviation of the error ratio queue, and determining a self-adaptive grading threshold according to the standard deviation; and updating the reference coefficient according to the grade of the error ratio, and dynamically adjusting the heat dissipation attenuation coefficient based on the actual time consumption feedback and the virtual heat state. According to the invention, accurate prediction and control of the overflow risk of the buffer area are realized.

To shorten time until a solution converges in iteration, in a method for controlling a robot's operation.SOLUTION: A method for controlling an articulated robot's operation includes: a first step of outputting a first joint angle that is a joint angle at the first time, regarding at least one joint; and a second step of outputting a second joint angle that is the joint angle at the second time after the first time by iteration, through the use of an initial value set by using the first joint angle output in the first step, so as to output the second joint angle, regarding the at least one joint.SELECTED DRAWING: Figure 4

The application belongs to the technical field of electromagnetic modeling of targets in layered media, and specifically provides a plane multilayer medium electromagnetic scattering modeling method based on layered medium Green function, which is used to solve the problems of large number of unknown quantities and low calculation efficiency when analyzing the electromagnetic scattering characteristics of targets in layered media; first, the medium target in the plane multilayer medium is meshed; then, the layered medium Green function is calculated based on the space list and interpolation method, and the matrix equation of the target current and magnetic current is constructed by solving the surface integral equation of the target by using the method of moments; finally, the improved stacked non-diagonal low-rank matrix is used to solve the matrix equation to calculate the target scattering field. The application adopts a direct solving calculation method, effectively solves the problem of ill-conditioned matrix difficult to converge in the conventional iterative method, especially for the multi-port excitation problem, without the need for repeated calculation, improving the solving efficiency of large-scale problems and reducing the consumption of calculation resources.

The present invention relates to computer implemented adaptive and iterative methods to improve and accelerate a quality control decision or a performance test in a specific technical field while reducing the overall cost of the quality control or performance test process, respectively; the method comprising: constructing a sequential test; iterating the following steps using the sequential test until a decision is made, obtaining a set of samples, checking the decision of the criteria for the set of samples, determining in an adaptive way the optimal number of additional data samples required for the subsequent iterative step if no decision has been made in the current iteration.

The invention provides a karst tunnel excavation support pressure reliability design method based on threshold gradient. According to the method, aiming at three random variables in an HB constitutive model, firstly, center composite sampling is carried out in a standard normal space to obtain seven test points, coordinates of the test points are converted into an original parameter space, a failure threshold value of each test point is obtained through calculation by establishing a numerical model, then a secondary response surface agent model without cross terms is established, and the failure threshold value of each test point is calculated. And establishing a tunnel face support force dominant threshold function by solving a linear equation set and determining seven coefficients of the proxy model, on this basis, proposing a standard normal space target reliability isoline checking point iteration method, performing checking point iteration on a sphere with the radius being the target reliability, and updating checking points in a gradient manner by adopting the threshold function. And calculating the collapse load of the design point during iterative convergence, so that the collapse load meets the requirement of a target reliable index. According to the method, the design complexity is reduced, and the design efficiency is improved.

Method for optimized design and fabrication of three dimensional trusses based on relaxed modularity constraints SOLUTION: A method for layout optimization of initial design, recognition of module arrangement by data clustering, design of relaxed modularization constraint, geometrical optimization and manufacturing and integrated assembly steps by 3D printing, wherein an iterative method is used to automatically design a three-dimensional truss structure comprising a plurality of module types, and a data clustering method is introduced into the iterative process to recognize the module arrangement, and a relaxed modularization constraint is applied to gradually lead the optimization solution to a modularized structure, and a method for iteratively solving the recognition of the module arrangement by data clustering and the design of relaxed modularization constraint is proposed. To further clarify a load transmission path of a structure, and to remarkably improve calculation efficiency while minimizing influence on a final optimized structure volume.SELECTED DRAWING: Figure 1