19 results about "Stochastic algorithms" patented technology

The invention provides a hybrid level enhanced random algorithm based on double-loop optimization and a cross-platform implementation method thereof, and belongs to the technical field of modeling and parameter, and the method comprises the following steps: S1, initialization; s2, setting algorithm parameters; s3, executing internal circulation, and executing local search under a fixed threshold value; s4, judging constraint conditions; when there is no constraint condition, generating a candidate solution; s5, calculating a target function value; s6, judging updating of the matrix according to the target function value; s7, returning to an outer loop, and adjusting a threshold value Th according to the frequency for receiving the new design and the number of iterations; s8, after M iterations are completed, the acceptance rate and the improvement rate are calculated; s9, updating the threshold value Th; and S10, judging a condition for stopping iteration. According to the method, the problems that a general construction method is lacked, local optimum is easy to sink and cross-platform deployment is difficult to realize in a multi-factor mixing level test design are solved.

The invention relates to a method and a system for randomly selecting questions and identifying answers based on a dynamic library file, and relates to the technical field of data processing. A material library, a vocabulary library and a selected question library are pre-constructed, so that an intelligent terminal participating in a network program obtains a target material library, a target vocabulary library and a target selected question library; the method comprises the following steps: according to a random algorithm, randomly selecting corresponding target materials, keywords and the like according to the random algorithm to obtain randomly selected questions and randomly combined options, and displaying the questions and the options on an intelligent terminal, so that a user participating in a network program can answer questions and display corresponding prompt statements or jump objects after the answers are correct, thereby realizing display of preset contents; by adopting the technical scheme, questions and answers are generated intelligently, manpower is saved, meanwhile, needed preset content can be displayed after answering, and the publicity is improved; in addition, according to network updating, the three library files can be updated in real time, and the applicability of the files is improved.

The invention relates to a flexible production line equipment collaborative energy-saving control system based on a random ADMM, and the system comprises a multi-dimensional energy consumption sensing module which is used for collecting the time sequence power data, equipment state transition data and environment parameter data of equipment in a production line; the data transmission module is used for transmitting the time sequence power data, the equipment state transfer data and the environment parameter data to the central control system; the central control system is internally integrated with a cross-industry federated learning module which is used for carrying out federated learning and collaborative optimization of multi-source energy consumption data based on a privacy protection mechanism; the non-convex optimization model is used for performing non-convex optimization solution on the equipment start-stop strategy by adopting a random ADMM algorithm to generate a global optimal equipment start-stop strategy; and the dynamic correction module is used for receiving the collaborative optimization data and the global optimal equipment start-stop strategy, carrying out fusion analysis and optimization calculation, and then feeding back the optimized final control strategy to a production line execution mechanism so as to regulate and control the start-stop state of the production line equipment.

The invention discloses a DAG-based block chain consensus method, which ensures the uniqueness and availability of blocks in a DAG by constructing a reliable broadcast algorithm under a new hybrid model. And meanwhile, throughput is improved by utilizing a DAG structure, a rapid confirmation path is fused and added to realize rapid confirmation and reduce delay, and then the activity of the protocol is ensured through a coin confirmation path. According to the method, a main-free design is introduced into a hybrid algorithm design, a multi-proposal architecture is adopted, block relationships of blocks of proposals are structured through a directed acyclic graph (DAG), and the activity and security of a system are ensured by using a random algorithm and a time hypothesis. In addition, by introducing a rapid confirmation condition, the delay is reduced while the throughput capacity of the protocol is ensured. The consensus of the blocks can be completed in the fastest four rounds of communication, and most of the blocks can complete the consensus of the blocks in the six rounds of communication, so that the low time delay of the block consensus process is ensured, and the responsiveness of the system is improved.

A structural damage identification method based on random sparse regularization comprises the following steps: S1, establishing a finite element model of a to-be-identified damage structure, dispersing the structure into a finite number of units, setting a damage working condition, and simulating the damage working condition; s2, performing modal analysis, calculating a stiffness matrix and a mass matrix of the structure, adding boundary conditions, and solving feature values and feature vectors; s3, constructing an objective function of damage identification; s4, introducing an l1 / 2 regularization optimization method, and establishing a structural damage identification equation; s5, introducing a random class algorithm, optimizing and solving the structural damage identification target equation, and obtaining a solution vector; and S6, determining the damage position and the damage degree in the structure according to the solution vector of the damage identification equation. According to the method, the damage position can be quickly positioned, the damage degree can be accurately quantified, the accuracy of a damage identification result is improved, and the identification time of damage identification is shortened.

The invention discloses a three-dimensional wire harness wiring method and system and a medium, and relates to the field of wire harness layout. The method comprises the following steps: acquiring a three-dimensional space region to be wired, equipment coordinate information and an equipment connection relationship; dividing the three-dimensional space area into a plurality of sections along a preset main wiring direction to obtain a section set, and determining an initial section of the section set; based on the equipment coordinate information and the equipment connection relationship, determining a plurality of wires passing through the initial cross section, and obtaining a target wire set of the initial cross section; generating an initial channel group of the initial section through a first random algorithm based on the traverse information of the target traverse set; based on the initial channel group, determining a target wiring solution of the initial cross section through a simulated annealing algorithm; based on the target wiring solution of the initial section, determining the target wiring solution of the target section according to a preset main wiring direction sequence; and based on the target wiring solution corresponding to each section, determining a wiring harness wiring result of the three-dimensional space region. According to the invention, the accuracy of three-dimensional wiring harness wiring can be improved.

A three-dimensional wire harness wiring method, system and medium relate to the field of wire harness layout. The method comprises: obtaining a three-dimensional space region to be wired, device coordinate information and device connection relationship; dividing the three-dimensional space region into multiple cross sections along a preset main wiring direction to obtain a cross section set, and determining a starting cross section of the cross section set; determining a plurality of wires passing through the starting cross section based on the device coordinate information and the device connection relationship to obtain a target wire set of the starting cross section; generating an initial channel group of the starting cross section by a first random algorithm based on the wire information of the target wire set; determining a target wiring solution of the starting cross section by a simulated annealing algorithm based on the initial channel group; determining a target wiring solution of a target cross section in sequence according to the preset main wiring direction based on the target wiring solution of the starting cross section; and determining a wire harness wiring result of the three-dimensional space region based on the target wiring solution corresponding to each cross section. The application can improve the accuracy of three-dimensional wire harness wiring.

This invention discloses a privacy information retrieval method and system, comprising: data digest extraction; preprocessing the database index before data retrieval to privatize client query requests; a first server storing the indexes of n data points from a public database DB in an array of l rows * m columns, arranging the elements of each subarray using a random algorithm to obtain random permutation groups; performing column-wise operations on each random permutation group to obtain m data digests; querying and responding; when a client wants to query data with index x, calculating the corresponding data digest, constructing a request that does not expose the real query using the data digest, and sending it to a second server; state reset; the data digest represents the latest state of the current retrieval method, and the state of the data digest is reset after each data retrieval; and re-performing the query and response tasks after the state reset. This invention will help promote privacy information protection in fields such as healthcare, finance, and media recording.

The application discloses a wild bird irregular silent feeding device and method in the technical field of wild animal protection, which comprises a moving device, a control device and a lifting piece are arranged on the moving device, a rotating disc and a driving device for driving the rotating disc to rotate are arranged on the moving end of the lifting piece, the control device comprises a control unit and a random algorithm unit, a storage tank is arranged in the rotating disc, a silent discharge pipe for being communicated with the storage tank is arranged on the side wall of the rotating disc, and the control unit of the control device controls the driving device, the moving device and the lifting piece to start based on the random time interval generated by the random algorithm unit of the control device, so that the feeding device can irregularly feed, the randomness and uncertainty of food in a natural environment can be effectively simulated, the migratory birds cannot form a fixed expectation for feeding time, and thus the dependence behavior of the migratory birds can be prevented.

Embodiments of the present application provide a chaos engineering-based attack and defense drill method, device, equipment, medium and product. The method comprises: obtaining a first chaos fault scene using a random algorithm; obtaining a to-be-tested fault matching the first chaos fault scene from a predetermined to-be-tested fault range; wherein one to-be-tested fault corresponds to one fault weight; in the process of executing the to-be-tested faults in the order of fault weights from large to small, real-time capture of system state parameters; downgrading the fault weight of the to-be-tested fault that ends execution, and re-adding the downgraded to-be-tested fault to the to-be-tested fault range; when a completion instruction is detected, effect verification and system repair are performed based on the system state parameters to obtain verification results and repair results; and a chaos test summary report is output based on the verification results and the repair results. The present application improves the comprehensiveness and accuracy of evaluation, and provides reliable support for optimization and improvement of the system.

This invention discloses a method, device, and storage medium for robotic arm motion planning in random and chaotic environments, relating to the field of robot control technology. The method includes: constructing a forward kinematics model of the robotic arm and a workspace obstacle model; constructing an initial geometric reference path and generating an end effector reference trajectory; constructing a joint space configuration domain; using a bidirectional fast expanding stochastic algorithm to expand the sampling nodes of the initial geometric reference path and generate a time-parameterized reference joint trajectory; constructing a safety corridor and a quality-unified objective function; employing a metaheuristic optimization algorithm, using the end effector reference trajectory and the time-parameterized reference joint trajectory, iteratively solving to minimize the quality-unified objective function to obtain optimized control point offsets and time allocation parameters, and outputting the optimized joint trajectory and end effector trajectory. This invention can output high-quality robotic arm motion trajectories that meet industrial-grade safety and execution quality requirements.

This invention relates to the field of intelligent control technology, and particularly to an intelligent control method and system for industrial control computers. The method includes: setting up a virtual model of the industrial control computer in the cloud; performing authentication; loading the virtual model through an external device; periodically sending the currently used variable function to the external device via the cloud; generating a transition function using a random algorithm and obtaining the data to be transmitted; transforming the data to be transmitted using the transition function to obtain transition data; performing a secondary transformation on the transition data using the variable function to obtain plaintext data; and having the data sender synchronously transmit the plaintext data and the transition function to the data receiver via the cloud to complete the data transmission. This invention transforms the data to be transmitted, replacing the original data with a transition function and plaintext data that are not directly related to the data to be transmitted, thus improving data security. It eliminates the need for additional data encryption during transmission, ensuring the security of device control.

This invention provides a high-precision modeling method for porous metallic materials based on a stochastic algorithm and its application in simulating the electrothermal-mechanical properties of materials. It relates to the field of artificial intelligence algorithm technology. The method includes: reconstructing and optimizing an initial reconstruction model of the porous metallic material based on a stochastic algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model and determining whether the analysis results meet the accuracy error standard; if they do, outputting the three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of porous materials can be accurately simulated, achieving high-precision modeling of porous metallic materials. Generating and growing pore seeds using a stochastic algorithm ensures the randomness and realism of the model. The setting of the accuracy error standard further improves the reliability of the model, ensuring the accuracy of porosity and pore size. This effectively solves the error problem in the modeling process of porous metallic materials, providing a solid foundation for high-precision simulation and material performance prediction.

The application discloses a method and a transaction execution device for improving the execution speed of a blockchain smart contract transaction, which comprises the following steps: identifying all global counters of a global variable type which is prone to cause read-write conflicts according to the application type of the original read-write conflict in an application; dividing each identified global counter into multiple sub-counters; when a blockchain smart contract transaction arrives, distributing the blockchain smart contract transaction to one of the corresponding sub-counters according to a predetermined random algorithm, and obtaining the counting value of the corresponding sub-counter; and when the real-time value of the global counter is needed, adding the counting values of the multiple sub-counters. Therefore, the application effectively reduces the probability of read-write conflicts in the parallel execution process of the smart contract, thereby greatly improving the speed of the parallel execution transaction of the smart contract.

The invention relates to an anti-counterfeiting identification method, device and equipment for a tire pressure sensor and a storage medium, and the method comprises the following steps: sending authentication information to a target tire pressure sensor to obtain feature information of the tire pressure sensor; processing the feature information to obtain a signature feature vector; randomizing the signature feature vector based on a random algorithm to obtain a feature sequence; performing Rawinter transformation on the feature sequence to obtain a change feature; matching the change feature with a preset reference feature; and if the matching is successful, sending an activation signal to the target tire pressure sensor so as to activate the target tire pressure sensor. Through the steps, the accuracy of anti-counterfeiting identification of the tire pressure sensor is improved.

The application discloses a kind of composite briquette adding phase geometric structure and space distribution optimization method, adopt ellipsoid equation to simultaneously describe round ball type, whisker type, sheet type filling method, realize the optimization design of different geometric shapes;Specific steps are as follows:1, give the relevant condition of briquette;2, establish the r-θ2D section analysis model of briquette;3, given the discrete geometric number of adding phase;4, generate corresponding ellipse in model using random algorithm;5, determine whether the ellipse generated in 4 has problem, if there is problem, repeat 4;6, repeat steps 4, 5, generate M sets of data containing random geometry, space distribution;7, carry out mesh division;8, use numerical analysis method and solve in parallel, obtain M groups of key variables;9, based on the result in 8, using genetic algorithm and other optimization means, evaluate the pros and cons of M groups of design, then generate M groups of data again in combination with steps 4-6;10, repeat steps 4-9 until the optimization algorithm convergence condition is reached;11, output optimization result.

This invention discloses a GIS-based method for optimizing 3D geological modeling, belonging to the field of 3D geological modeling technology. The method includes: collecting multi-source geological data of the target area, performing standardization processing, and importing the processed data into a GIS platform to construct a GIS spatial database with spatial index; using an improved K-means and DBSCAN hybrid clustering algorithm, combined with the standardized multi-source geological data, to generate a geological information feature set; using an optimized spatial interpolation algorithm that integrates geostatistics and stochastic algorithms to construct a borehole 3D model and perform geological constraint verification and correction; using a multi-coupled cascaded hybrid density network, combining the input borehole 3D model data and the geological information feature set with GIS topology analysis to generate a 3D geological body model; optimizing the 3D geological body model, iteratively correcting the model through a preset quality assessment system, and outputting an optimized 3D geological model. This invention is applicable to various high-precision 3D geological modeling scenarios.

The invention discloses a wind power output curve optimization method which comprises the following steps: designing an envelope model based on a generated theoretical wind power output curve, performing piecewise function change on the envelope model according to power change to obtain a minimum value envelope function and a maximum value envelope function, and setting three random working conditions according to the actual operation condition of a fan, different times and time are set for the three working conditions, and different time periods are intercepted through a random algorithm to obtain a final output curve. The method mainly pays attention to increase of medium-low wind speed width and abnormal value scatter simulation, so that a theoretical processing curve is close to the actual value.

The invention discloses a multi-scene simulation verification and multi-objective optimization method based on a power distribution network protection scheme, and the method comprises the steps: obtaining the multi-dimensional data of a power distribution network, enabling the multi-dimensional data to comprise the topology and equipment parameters of the power distribution network, the model parameters of a demand side energy supply system, and the parameters of a protection setting model, and carrying out the preprocessing of the multi-dimensional data; constructing a digital twinborn model based on the preprocessed multi-dimensional data; presetting a plurality of scenes based on the operation risk of the power distribution network, and generating scene variables through a random algorithm; constructing a simulation environment for each scene, starting the digital twin model to perform simulation in the simulation environment, and outputting a simulation result; constructing an evaluation index system, determining a weight by an analytic hierarchy process, and performing weighted calculation on a comprehensive evaluation value of a simulation result; and taking the comprehensive evaluation value as a target, iteratively optimizing a protection scheme and demand side resource configuration by adopting a multi-target genetic algorithm, searching a Pareto optimal solution, and ensuring that the scheme gives consideration to multi-target balance of safety, economy and environment.