6 results about "Stochastic algorithms" patented technology

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.

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.

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 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 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.