203 results about "Fast optimization" patented technology

The invention discloses an oil reservoir inter-well connectivity determination method based on data driving, and the method comprises the steps of firstly collecting related parameters of an oil fieldblock, obtaining a filtering coefficient of each injection signal, carrying out the preprocessing of injection and production data, and correcting the time lag and attenuation of the injection and production data; performing normalization processing on the injection-production data to form a standard sample set of neural network learning and training; building a neural network, using a conjugategradient algorithm as a learning algorithm, and achieving the rapid optimization solution of neural network model parameters; and performing parameter sensitivity analysis based on the trained neuralnetwork model to obtain a connection coefficient for representing the inter-well connectivity of the oil reservoir. The method is simple and convenient, is high in calculation efficiency, is used forevaluating the dynamic connectivity between oil reservoir wells, has a better yield prediction effect while having the same inter-well connectivity coefficient calculation precision of a traditional inter-well connectivity judgment method, and can further guide formulation of optimization measures such as profile control and water plugging and intelligent oil field layered injection and productionhistory fitting and production optimization.

A method and system of optimizing a ranked list (5) of recommended items that is based in a multidimensional data set (2) comprising context-aware information about the of a plurality of users and a plurality of items. A mathematical recommendation model (3) is trained with the multidimensional data set (2) by applying a smooth objective function that allows the use of fast optimising algorithm and that quantifies the relevance of the ranked lists provided by an optimization algorithm.

A system and method for fast optimization of point cloud data utilizes a point cloud indexer process and an octree class process running in parallel. The point cloud indexer process is configured to build an octree and associated index from a point cloud dataset. The octree class process is configured to run in parallel with the point cloud indexer process and is configured to serve data at a lowest level of detail directly from the point cloud dataset when a request for lowest level of detail is received from the client and the point cloud indexer process is still building the octree and index

The invention discloses a DCO-OFDM (Direct-Current-Biased Orthogonal Frequency Division Multiplexing) DC bias and rapid power optimizing method under double restrictions aiming at visible light communication. DCO-OFDM DC bias and subcarrier power optimizing is a complex non-convex and non-linear optimizing problem. The DCO-OFDM DC bias and rapid power optimizing method can quickly seek the optimum DC bias Bdc and subcarrier power pk distribution scheme on the conditions of optical power limitation or electric power limitation or both optical power limitation and electric power limitation. The DC bias Bdc and subcarrier power pk obtained through the DCO-OFDM DC bias and rapid power optimizing method can maximize the data rate of the system or minimize the bit error rate in the fixed modulation scheme. The DCO-OFDM DC bias and rapid power optimizing method has the advantages of fast rate of convergence, small calculation amount, easiness in achievement, high result accuracy, etc.

A method to dynamically and completely identify in real-time a transparent-film absorbing-substrate system: determine the film thickness and optical constant and the substrate optical constant, using any ellipsometer to measure only one pair of the two ellipsometric angles psi and del at only one angle of incidence and at only one wavelength, and a fast optimized genetic algorithm which employs a fitness function based on a physical condition along with an optimization method are provided. With proper modification the provided optimized genetic algorithm, and the provided optimization method, are used to fully characterize absorbing-film absorbing-substrate systems, to fully characterize a pellicle which is an unsupported film, to fully characterize a bare substrate, to fully characterize multiple-film-substrate systems, and to design single- and multiple-film-substrate systems. A software program and/or a smart device to be a part of any ellipsometer or ellipsometer system, or to be added to any existing ellipsometer or ellipsometer system, are also provided. All equally apply to reflection and transmission modes of operation.

The invention relates to a servo system control method based on relay feedback, belonging to the technical field of motion control. The method comprises the following steps of: controlling a servo system for the first time by using a relay with an initial amplitude value to acquire a rotation rate after initial motion time; acquiring a relay amplitude value corresponding to the upper limit and the lower limit of the rotation rate according to the motion information of the first time, and respectively carrying out motion control on the servo system for the second time and the third time under the amplitude value through the relay in a time delay mode to acquire a stable response amplitude and a stable response cycle; identifying system model parameters and a dry friction magnitude according to the motion information of the second time and the third time; and carrying out optimization of control parameters and feedforward compensation of dry friction based on the identified parameters. The method of the invention can be used for quickly optimizing controller parameters and realizing effective compensation of friction, thereby improving the control accuracy of the servo system.

The invention discloses a voice quality optimization method comprising the following steps: counting poor-quality cells; comprehensively analyzing the cause of each poor-quality cell based on a variety of data sources; clustering the causes of the poor-quality cells; and merging the poor-quality cells applicable to similar solutions based on the cause cluster, and carrying out batch-processing for the same cause. The invention further discloses a voice quality optimization device. By adopting the technical scheme of the invention, the problem that there is no systematic analysis means for traditional poor-quality problem processing and the efficiency is low is solved, poor-quality cells with voice quality problems in a mobile communication network can be counted out, the causes of the problems can be analyzed quickly and positioned accurately, a wireless network can be optimized quickly, and the voice quality of the mobile network is improved.

A method is revealed for optimizing the performance of a computer by means of purpose-specific sections created in its main non-volatile storage medium. Such method creates a basic set of purpose-specific sections in order to separate, at a physical level and at a logical level, vital elements for equipment operation such as operating system, dynamic files, applications and user's files; and, optionally, creates an additional set of purpose-specific sections for storing non-vital elements separated in like manner. A secondary method, which supplements the previous one, in order to optimize quickly a unlimited number of identical computers, is also shown. Additionally, an optimized main non-volatile storage medium that results from using either one of the previous methods is presented. Applying this invention generates numerous advantages for the owner of the equipment being optimized. File fragmentation is minimized and several proven benefits are brought about, as the best possible performance obtained with less resources, an improved security scheme for the user's files, an optimized defragmentation of the main non-volatile storage medium, and an unsurpassed cost-benefit ratio. Such benefits are unattainable simultaneously by means of the traditional techniques or the optimization proposals published to date.

The invention provides a method for carrying out finite element parametric modeling on a triangular grid stiffener cylinder structure. According to the invention, the method for carrying out parametric modeling on the triangular grid stiffener cylinder structure is established and is realized by using MSC (Mobile Switching Center).PCL (Pinter Control Language) programming, modeling parameters comprise seven parameters of height H of a cylinder, external radius R, covering thickness t, circumferential grid number n, rib crossing angle theta, rib height h and width w, a finite element analysis model can be quickly established by any combination of the seven parameters on the premise that reasonable combination is met, and the time for carrying out modeling on a daily microcomputer is about five seconds through actual measurements. The method provided by the invention has the advantages of high modeling automation level, quick speed, good element mass and high analysis accuracy; high-accuracy and fast-optimization analysis on the triangular grid stiffener cylinder structure can be realized by matching optimization design software such as Isight.

The invention discloses a train multi-interval operation curve rapid optimization method. The method comprises the steps that S1, data, including train parameters, line data and whole line operation time, of a train number model to be optimized are acquired; S2, setting speed curve optimization parameters; S3, preprocessing the train parameters and the line data in the step S1; S4, calculating thestate space, the state transition equation and the state transition cost in each interval; S5, connecting the state spaces of the intervals into a whole, and performing dynamic programming algorithmsolution in combination with a weight adaptive adjustment method to obtain a dynamic programming optimization result under the constraint of the whole line operation time; and S6, analyzing and outputting a dynamic planning optimization result to obtain a multi-interval energy-saving operation speed curve and the distributed operation time of each interval.

The invention discloses a method for optimizing general parameters of a control surface transmission mechanism. The method comprises the following steps that analytical expressions of the line rigidity, torsional rigidity, torsion frequency, the steering engine actuator travel original length ratio and the transmission ratio deviation of the control surface transmission mechanism are established; a parameterized ADAMS model of the control surface transmission mechanism is established; the ADAMS model, an input file including input variables, an output file including measurement values and a command file for driving an ADAMS are packaged; optimization goals and constraint conditions are determined; a ModelCenter optimizer and the ADAMS model are used for optimizing the designed distance between a variable rudder shaft and a steering engine support, the length of a rocker arm and the height of the steering engine support with the determined optimization goals and the constraint conditions, and optimized results are obtained. By means of the method, the quick optimization design of the general parameters of the control surface transmission mechanism is achieved, and engineering technicians can conveniently use the method.

The embodiment of the invention provides a trajectory fast optimization method and apparatus based on a gradient particle swarm algorithm. The trajectory fast optimization method based on the gradientparticle swarm algorithm includes the steps: initializing the kth generation of population and the k-1th generation of population, and determining the first global optimal individual corresponding tothe kth generation of population and the second global optimal individual corresponding to the k-1th generation of population; determining whether the fitness value of the first global optimal individual is greater than the fitness value of the second global optimal individual; if not, on the basis of taking the position vector corresponding to the first global optimal individual as the startingpoint, generating the k+1th generation of population, according to the k+1th generation of population and the kth generation of population, performing trajectory optimization; and if so, utilizing thegradient method to update the position vector corresponding to the first global optimal individual, taking the position vector corresponding to the first global optimal individual as the starting point, generating the k+1th generation of population, and according to the k+1th generation of population and the kth generation of population, performing trajectory optimization. The trajectory fast optimization method and apparatus based on a gradient particle swarm algorithm can realize fast optimization of trajectory.

The invention discloses a directional diagram numerical optimization method for a round caliber planar-array antenna. The method comprises the following steps that: firstly, according to system parameters, including antenna emission frequency, the caliber shape and size of the array, an array unit interval and the like, establishing the array unit layout of round caliber distribution; according toa wave beam pointing angle appointed by a user, determining the phase weighting of each unit; and then, setting a range weighting optimization vector, initializing the range weighting optimization vector, and adopting a differential evolution algorithm to carry out iterative numerical optimization on the range weighting optimization vector until the fitness value of an optimal optimized vector islower than a set threshold. By use of the method, the numerical optimization problem of the round caliber rectangular grid planar array and a round caliber triangular grid planar array is favorably solved, a required range weighting matrix can be quickly optimized, and directional diagram indexes, including minor levels, null levels and the like, on an array directional diagram, meet indexes.

The invention discloses a method for optimizing a freeform surface optical system in combination with a surface form and a field-of-view optimization strategy. The method uses the respective coefficients of a Zernike standard polynomial representing an optical system wave aberration as an evaluation basis, develops a optimization process by a successive approximation strategy combining surface form optimization and field of view optimization, and comprises steps of: firstly, selecting an initial small field of view, searching out the maximum item of system aberration targetedly in each optimization step according to an established XY polynomial and a polynomial relation model, selecting a corresponding XY polynomial item in the freeform surface as a new-added variable to optimize and balance the aberration, and synchronously adjusting the weight of each field of view according to the wave aberration rms values of respective fields of view of the system; after a structure satisfying a performance index is optimized and acquired within a small field of view range, gradually expanding the field of view and repeating the optimization steps until optical system structure parameters within all field of view range are obtained. The method has a large field of view, fast optimization speed, aberration pertinence and guidance.

The invention provides a rapid optimization method for polarization code decoding parameters. The method comprises the following steps of firstly, starting from collection and sorting of sample data;then carrying out modeling according to the characteristics and the size of the sample data, and adopting a supervised learning and random gradient optimization method for training a network; then inputting the likelihood ratio obtained by calculation of the received signal into a radial basis function neural network model which completes the training and outputting M; and finally, initializing Lto M and executing a serial offset list decoding algorithm. According to the method, a radial basis function neural network technology and a polarization code decoding technology are combined, so thatunnecessary calculation operation is avoided, and therefore the coding complexity of polarization codes is greatly lowered.

The invention discloses a power material support and allocation platform based on a multi-objective particle swarm optimization algorithm, which comprises a reserve optimization result base, a material demand information base, a multi-objective particle swarm optimization algorithm module, an algorithm evaluation verification module and an optimization scheme generation. The invention utilizes themulti-objective particle swarm optimization (MPSO) algorithm to collect the historical reserve data of electric power materials, the list of material requirements carried out by business expansion, emergency repair and daily emergency repair, as well as the related data such as emergency disaster category, emergency repair degree and the like, and generates a multi-objective optimization scheme for electric power materials support and deployment. Through the platform, users can quickly optimize the demand for various power supplies after a certain disaster or event, guide the relevant departments to reserve or purchase materials on demand, ensure the safe production of electric power smoothly, and avoid the waste of funds caused by excessive reserves.

The invention is a method for automatically determining the dialing sequence that is required for local, local long distance, ten digit local and long distance, long distance, and international dialing from an initial dialing database that contains no information about local telephone company dialing requirements and requires no or minimal human interaction. The method contains a database for logging call attempts, failures, and successes and an analysis algorithm to determine which dialing sequences are potentially failures and which are potentially successes and which are certain successes. Data from previous dialing attempts and analysis are used to determine dialing sequences for future calls to each area code and exchange. Each area code and exchange pair is quickly optimized without the need for purchasing or maintaining a third party dialing database and without manual definition of dialing sequences.