Disclosed is a robust topology optimization design method of a damping composite stiffened cylindrical shell box structure, comprising: constructing working load data, and obtaining circumferential target modal frequencies based on the working load data and the stiffened cylindrical shell box; laying constrained layer damping materials on the stiffened cylindrical shell box to construct a damping composite stiffened cylindrical shell box; constructing interval parameters based on the damping composite stiffened cylindrical shell box, and obtaining modal loss factor based on the interval parameters; constructing an objective function based on the modal loss factors, constructing design variables and constraint conditions based on the damping composite stiffened cylindrical shell box, integrating the objective function, design variables and constraint conditions to form an interval robust topology optimization model; updating the design variables based on the interval robust topology optimization model, and obtaining an optimized topology configuration of the damping composite stiffened cylindrical shell box.

In some embodiments, techniques for creating a design for a physical device are provided. A computing system receives an initial design of the physical device. Performance of the physical device is simulated using the initial design. A performance loss value is determined for the physical device based on the simulated performance at a target wavelength and one or more delta wavelengths. The performance loss value is backpropagated to determine a gradient corresponding to an influence of changes in the initial design on the total performance loss value. The initial design of the physical device is revised based at least in part on the gradient.

The present subject matter relates to systems and methods for designing a construction component for a building in which a biomimetic topology optimization algorithm is applied to a building design to define a structure of one or more construction component of the building. Such construction components can be fabricated using an additive manufacturing method.

An information processing device includes one or more processors configured to: by executing single-objective optimization on a first objective function among a plurality of objective functions defined according to feeding orders of a plurality of objects into a work line, specify first feeding orders in which values of the first objective function are better than an initial feeding order, by executing the single-objective optimization on a second objective function, specify second feeding orders in which the values of the second objective function are better than the initial feeding order, and executing multi-objective optimization on the plurality of objective functions by using the first feeding orders and the second feeding orders.

Techniques for determining simulations to confirm programmatic logic are discussed herein. Such simulations may be used to identify errors in programmatic logic. As an example, a system may simulate an autonomous vehicle operating in an environment by setting various initialization parameters. Temporal logic, such as Linear Temporal Logic (LTL) and/or Signal Temporal Logic (STL) may be used to determine a numeric cost associated with how closely one or more policies are violated for each simulation of a group of simulations. Based on the costs computed, additional sets of simulations may be created using an evolutionary algorithm. Flaws in programmatic logic controlling the system may be identified based on the evolutionary algorithms and cost defined.

The invention is notably directed to a sensor system for performing distributed sensing and classification of sensor data. The sensor system comprises a set of distributed sensor nodes for sensing the sensor data. The sensor system is configured to encode the sensor data of each sensor node of a set of distributed sensor nodes for sensing the sensor data as high-dimensional vectors and to transmit the high-dimensional vectors over a respective link between the respective sensor node and a receiver system. The sensor system is further configured to superpose the high-dimensional vectors of the sensor data from the set of sensor nodes by physical superposition, thereby generating a superposed high-dimensional vector and to classify the superposed high-dimensional vectors at the receiver system.

A design optimization method and system comprises preparing a symbolic tree, updating node symbol parameters using a plurality of samples, sampling the plurality of samples with a method for solving, the multi-armed bandit problem, promoting each sample in the plurality of samples down a path of the symbolic tree, evaluating each path with a fitness function, and outputting a path of the symbolic tree.

The present invention discloses an optimization method for a screen surface dynamic load of a vibrating screen. The method includes the following steps: step 1. selecting design variables, and establishing an experimental matrix; step 2. performing a response curved surface experiment; step 3. establishing two double-objective optimization models and solving the same to obtain two groups of Pareto solution sets, wherein the solution sets respectively represent screening efficiency optimization paths of the vibrating screen under the conditions of a high screen surface dynamic load and a low screen surface dynamic load; and step 4. calculating an optimization space for a screen surface dynamic load under a high screening efficiency. According to the method of the present invention, the screen surface dynamic load can be directly reduced, and the service life of the screen surface and the whole vibrating screen is prolonged.

A method includes measuring a subset of property values within a manufacturing chamber during a process performed on a substrate within the manufacturing chamber. The method further includes determining property values in the manufacturing chamber at locations removed from the locations the measurements are taken. The method further includes performing a corrective action based on the determined properties.

A computer-implemented method for automatically furnishing a 3D room based on user preferences including obtaining at least one spatial relations graph of a virtual 3D room and a set of user preferences, converting the set of user preferences into a set of target parameters, computing, for each spatial relations graph: a set of Key Performance Indicator values, and a KPI distance, automatically selecting at least one most promising spatial relations graph, instantiating the most promising spatial relations graph into the 3D room to be furnished, displaying the furnished virtual 3D room proposal to the user, receiving an update of the user preferences, and reiterating until a stopping criterion is fulfilled.