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114results about How to "Expand the search space" patented technology
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Method for allocating passengers to an elevator
InactiveUS6945365B2Shorten stop timeEasy to adaptData processing applicationsComputer controlTelecommunicationsFloor level
A method for the allocation of passengers in an elevator group. The group has several elevator lobbies and multi-door elevators. Each passenger gives his / her destination floor by means of a call input device, so that the passenger's starting and destination floors are thereby defined.
Owner:KONE CORP
Improved fuzzy neural network bus intelligent scheduling method based on chaos theory
InactiveCN106295886ARealize intelligent schedulingEasy to fall into local optimal solutionForecastingNeural learning methodsChaos theoryAlgorithm
The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.
Owner:梁广俊
Temperature compensation method and system for silicon micro-accelerometer based on improved PSO (Particle Swarm Optimization) optimized neural network
InactiveCN108120451AExpand the search spaceDiversity guaranteedTesting/calibration of speed/acceleration/shock measurement devicesNeural learning methodsAccelerometerEngineering
The invention relates to a temperature compensation method and system for a silicon micro-accelerometer based on an improved PSO (Particle Swarm Optimization) optimized neural network, and the temperature compensation method and the temperature compensation system are designed for improving temperature compensation precision. The method comprises the following steps: acquiring a training sample ofPSO optimization and a BP (Back Propagation) neutral network; constructing the BP neutral network on the basis of the training sample; using an optimal extreme point optimized by an adaptive weight PSO as an initial weight value and a threshold value of a BP neutral network model; introducing mutation operation into a PSO algorithm, updating the particles, then reinitializing the particles at a certain probability and expanding a population search space which is continuously reduced in iteration by the mutation operation; establishing the BP neutral network by calling the parameters, realizing real-time temperature compensation of the silicon micro-accelerometer and outputting a compensation result. The temperature compensation method and the temperature compensation system disclosed by the invention have the advantages that the problems of solving of an optimal compensation result and temperature globality are solved, and finally improved compensation precision and global improvementof the silicon micro-accelerometer are realized.
Owner:SUZHOU UNIV
Method for selecting multi-objective immune optimization multicast router path
InactiveCN101777990AIncrease flexibilityImprove stabilitySpecial service provision for substationNetwork modelCrowding distance
The invention discloses a method for selecting a multi-objective immune optimization multicast router path, which mainly solves the problem of the optimization of multicast routers. The method has the following steps of: (1) determining an optimized target to generate a network model, and setting running parameters to generate an initial population; (2) eliminating an individual path loop; (3) calculating the individual target value to generate a current non-dominant population; (4) judging finishing conditions, if the finishing conditions are met, the current non-dominant population is output, or else, carrying out step (5); (5) calculating the individual crowding distance of the current non-dominant distance to generate an active population; (6) carrying out cloning and local searching operation on the active population; (7) carrying out recombination, variation and local search operation on the cloned population; (8) combining the current non-dominant population with the populations obtained in the steps (6) and (7) to eliminate the individual path loop; (9) calculating the individual value to refresh the current non-dominant population, and carrying out the step (4). The invention has the advantage of providing a flexible optimization scheme and is suitable for selecting the multicast router path.
Owner:XIDIAN UNIV
Time-attitude based method for decomposition and synthesis of imaging satellite observation task
InactiveCN105841705AIntuitive and efficient target decompositionIntuitive and efficient synthesisInstruments for comonautical navigationFeature vectorDecomposition
A time-attitude based method for decomposition and synthesis of imaging satellite observation task is disclosed. The method is characterized by comprising the following steps: (1) determining the time-orientation vector of a target according to the weft height of the target and the position of a satellite; (2) establishing an external characteristic rectangle, with a long edge parallel to a star line and including all target points, as a target region, determining a pitch angle, and calculating the characteristic vector of a region target; (3) according to the width of the satellite, dividing bands; and (4) according to the region target borders, cutting the bands to a right length. The method can intuitively and efficiently conduct target decomposition and synthesis, and more easily generate element task information input to a task planning and scheduling model. The method puts forward a concept of time-attitude, which is not only easy to understand and calculate, but also provides a unified description method for target decomposition and synthesis, and has certain operability, generality and scalability.
Owner:NAT UNIV OF DEFENSE TECH
Method for repairing fault of wireless sensor network
ActiveCN102111789AOvercome precocious deficienciesExpand the search spaceNetwork topologiesData switching networksWireless mesh networkNetwork conditions
The invention discloses a method for repairing a fault of a wireless sensor network. The method comprises the following steps: S1, based on a fuzzy mathematics and linear program method, establishing a membership matrix which represents the membership degree of a redundant node on a fault node a replacement matrix which represents the redundant node on the fault node and restriction conditions; S2, according to the membership matrix and the replacement matrix, constructing a target function of the redundant node to replace the fault node; and S3, based on a genetic algorithm, selecting an optimal redundant node to replace the fault node. By utilizing the method provided by the invention, the defect that at present, the energy problem is not abundantly considered in the aspect of study on the fault repairing problem is solved, wherein the problem can be more appropriately described by using the used fussy theory, and various influence factors are considered in the calculation of the membership function, thus network conditions are comprehensively reflected; and by using a genetic simplex method, the defect that the genetic algorithm is early matured is solved, a searching space is developed, and the convergence in the later period of searching is good.
Owner:BEIJING ZHIGU TECH SERVICE
Apparatus for adaptively correcting laser aberation based on genetic algorithm
InactiveCN1904712AImprove general performanceLow priceLaser detailsNon-linear opticsConcentration ratioLight pipe
The invention relates to a device of self-adapting correcting laser aberration based on genetic algorithm. It is made up of primary oscillation laser, optical isolator, power amplifier, P direction Polaroid, 1 / 4 wave plate, parallel light pipe, distortion mirror, variable density attenuation disc, spectroscope, photo detector, high pressure amplifier, data acquisition card, focusing lens, eyelet diaphragm, main control computer and control software based on genetic algorithm. The invention could be used to self-adapting correct the dynamic and static aberration of laser system. It could effectively improve the output light beam quality that needs not lower laser output power, and improve the far field facular energy concentration ratio, and expand the application field of solid laser of the MOPA.
Owner:INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
Improved genetic algorithm for flexible workshop scheduling
InactiveCN106610654AIncrease diversityImprove performanceTotal factory controlProgramme total factory controlAlgorithmGenetic algorithm
The invention proposes an improved genetic algorithm for flexible workshop scheduling, and the algorithm relates to the technical field of workshop scheduling, and specifically relates to the technical field of flexible workshop scheduling. The invention aims at the problems that a conventional genetic algorithm is complex in coding mode, is difficult for decoding, is weaker in search and development capability and is liable to be mature early and a non-feasible solution is liable to appear in the operation of a genetic operator. Compared with a conventional algorithm, the algorithm has the following improvements that 1, the coding is just performed on one chromosome, a coding chromosome gene consists of a ternary array (i, j, k), the coding mode is simple and convenient, and there is no need of decoding; 2, a positioning method is employed for selecting equipment for the process according to two different rules, and three known effective scheduling rule is employed for process arrangement; 3, crossing and mutation operations employ a genetic operator based on process priority protection; 4, before mutation, the probability of individual and genetic mutation is calculated through a formula, thereby achieving more accordance with the natural law. The algorithm is high in practicality.
Owner:SICHUAN YONGLIAN INFORMATION TECH CO LTD
Estimation of insulin based on reinforcement learning
ActiveUS20190214124A1Improve performanceReduce deliveryMedical simulationMathematical modelsPersonalizationReinforcement learning algorithm
The optimal insulin to be delivered by an insulin infusion pump is determined by using a reinforcement learning algorithm aiming to the personalized glucose regulation. The algorithm optimizes the daily basal insulin rate and insulin: carbohydrate ratio for each patient, on the basis of his / her measured glucose profile. The proposed algorithm is able to learn in real-time patient-specific characteristics captured in the daily glucose profile and provide individualised insulin treatment. An automatic and personalised tuning method contributes in the optimisation of the algorithm's performance.
Owner:UNIVERSITY OF BERN
A multi-skill personnel scheduling method in a research and development project combination
InactiveCN109636205ASolve complex and difficult technical problems in scheduling decisionsIncrease diversityOffice automationResourcesSkill setsMulti targeting
According to the multi-skill personnel scheduling method in the research and development project combination, which can solve the technical problems that a multi-skill personnel scheduling decision inthe research and development project combination is high in complexity and high in difficulty. The method mainly comprises the steps of generating an initial scheme of multi-skill personnel scheduling in a project combination according to a traditional serial progress production mechanism; Establishing a project combination multi-skill personnel multi-target scheduling model by considering the learning effect of personnel; When a learning effect and a plurality of scheduling targets are considered, applying a multi-target improved ant colony algorithm to iteratively solve the multi-skill multi-target scheduling model to obtain a Pareto solution set; And for the Pareto solution set, solving an optimal solution of the model by adopting an approximate ideal solution sorting method, and taking the optimal solution as a personnel configuration scheme for the project combination multi-skill personnel multi-target scheduling problem. On the basis of considering the cost and the constructionperiod of a traditional project personnel scheduling model, the personnel learning effect is further considered, the personnel skill training decision-making target is increased, rapid solving of themodel is achieved, and the decision-making requirements of enterprise managers are met.
Owner:HEFEI NORMAL UNIV
Dynamical search space alterations
ActiveUS20170264417A1Reduce usageReduced dimensionSignal allocationWireless communicationTelecommunicationsRadio networks
There is disclosed a method performed by a wireless device for updating an allocated search space for downlink control information. A corresponding wireless device is also disclosed. There is also disclosed a method performed by a radio network node to enable a wireless device served by the radio network node to perform an update of a search space allocated to the wireless device to monitor for downlink control information. Also provided is a corresponding radio network node. Corresponding computer programs and apparatuses are also disclosed. One particular advantage of the disclosed is that it enables a more tailor made search space for a wireless device.
Owner:TELEFON AB LM ERICSSON (PUBL)
Fruit-fly-optimization-algorithm-based multi-station assembling sequence planning method
ActiveCN105825293AAvoid precocityExpand the search spaceForecastingArtificial lifeSequence planningFitness function
The invention discloses a fruit-fly-optimization-algorithm-based multi-station assembling sequence planning method. The method comprises: a priority constraint relationship between parts is expressed by using a priority sequence graph; a priority relationship matrix, an integrated interference matrix, a station capability list, and an assembling information table are constructed; and an interference relationship between parts as well as a relationship between stations is described. A coding system of a fruit fly algorithm is provided; and three searching stages including an odour searching stage, a vision searching stage, and a cooperative searching stage of the fruit fly are designed by considering the local and global searching capabilities of the fruit fly algorithm. A fitness function expression close to practical engineering is put forward by considering influences of an assembling operation cost, a replacement tool cost, a clamping changing cost and a transport cost comprehensively. According to a priority sequence matrix, initial sequence evolution is guided; and a product assembling sequence and a station assembling sequence are optimized by using the fruit fly optimization algorithm.
Owner:GUILIN UNIV OF ELECTRONIC TECH
Method and apparatus for increasing the search space or peer-to-peer networks using time-to-live boosting
InactiveUS20060173967A1Expand the search spaceSearch spaceMultiple digital computer combinationsTransmissionTime to livePeer-to-peer
Owner:IBM CORP
Assembly sequence planning method
ActiveCN104616084AExpand the search spaceIncrease the number ofForecastingManufacturing computing systemsSequence planningAlgorithm
The invention discloses an assembly sequence planning method. The method can be divided into three stages, wherein at the first stage, assembly information is collected and a fitness function is established; at the second stage, the assembly sequence is found through the chaotic mixing algorithm; at the third stage, the fitness value is calculated, the scales of species are dynamically renewed, and route pheromones are renewed. The chaotic algorithm is added on the basis of the ant genetic algorithm, the chaotic algorithm search is introduced after the ant algorithm search is conducted so that the local search capacity of the algorithms is enhanced, feasible solutions fond through the two algorithms serve as initial species of the genetic algorithm, and the overall search capacity of the genetic algorithm is guided. Due to the fact that the initial species are enriched, the overall search capacity of the genetic algorithm is enhanced, and the search space is enlarged.
Owner:GUILIN UNIV OF ELECTRONIC TECH
Method and apparatus for obtaining object detectors
InactiveCN103942558AIncrease varietyExpand the search spaceCharacter and pattern recognitionObject detectorModel transformation
The invention discloses a method and apparatus for obtaining object detectors, and belongs to the technical field of detection. The method comprises: according to an SVM, training an image training sample, obtaining a first root filter, and according to a first root filter, obtaining first part filters corresponding to each object part; performing model transformation on the first root filter and each first part filter, and obtaining a root filer after the transformation and part filters after the transformation; according to a latent SVM, training the root filer after the transformation and the part filters after the transformation, obtaining a second root filter and second part filters, and taking the first root filter, the second root filter, the first part filters and the second part filters as the obtained object detectors. According to the invention, the model transformation is carried out on the first root filter and the first part filters, so that the types of filters can be increased, the search space of the object detectors is expanded, objects with changeable postures and visual angles can be effectively matched, and accordingly the object detection precision is improved.
Owner:NEC (CHINA) CO LTD
Method and system for predicting wind speed
InactiveCN107274015ADecompose thoroughlySmall fluctuationForecastingGenetic algorithmsLeast squares support vector machineDifferential evolution
The invention discloses a method and system for predicting wind speed. The method includes: obtaining the original sequence of wind speed data; using a particle swarm algorithm to determine the optimal preset scale parameter and optimal bandwidth parameter of the variational mode decomposition method, and converting the original sequence Decompose into several modal function subsequences; use the differential evolution algorithm to determine the kernel parameters of the least squares support vector machine model of each modal function subsequence, the variation factor of the mutation operation decreases with the increase of the evolutionary algebra, and the generated mutant individuals It is related to the optimal individual of the previous generation, and the crossover probability factor of the crossover operation increases with the increase of the evolutionary algebra; according to the autocorrelation of each modal function subsequence and each kernel parameter, determine the least squares of each modal function subsequence Support vector machine wind speed prediction sub-model, and predict the decomposition wind speed of each sub-sequence through each wind speed prediction sub-model; determine the final wind speed prediction value according to each decomposition wind speed. The method and system provided by the invention can accurately predict wind speed.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
An automatic balance control method based on APSO-BP for double counterweight plates
ActiveCN109190270AStrong generalizationRealize data collectionSustainable transportationDesign optimisation/simulationWeight adjustmentEngineering
The invention discloses an automatic balance control method based on APSO-BP for double counterweight plates. Based on a BP neural network, balance data of each time are fully utilized and the balancing parameters are fitted and optimized to realize automatic balancing control. The input parameters are the initial position A1 and B1 of the two balancing blocks, rotating speed N, unbalance force (shown in the description), the optimization objective is system vibration response (shown in the description), and the optimal output is the target positions A2, B2 of the two balancing blocks. Basedon the initial position, rotational speed and system vibration response of the counterweight, the BP neural network is used to fit the system vibration value, and the adaptive particle swarm optimization is used to obtain the optimal target position of the two counterweight blocks. The invention can effectively optimize the particle swarm optimization based on the neural system fitting input-output relationship by using the improved adaptive weight adjustment method, which is conducive to promoting global optimization, accelerating the convergence rate and increasing the accuracy of the automatic balance system control and the effectiveness of the data.
Owner:BEIJING UNIV OF CHEM TECH
Inspection robot cross-regional scheduling method based on hybrid genetic-ant colony algorithm
InactiveCN110610304AOvercome limitationsImprove circulation efficiencyChecking time patrolsForecastingNODALLocal optimum
The invention relates to the technical field of substation inspection robot scheduling. The invention relates to an inspection robot scheduling method, in particular to an inspection robot cross-regional scheduling method based on a hybrid genetic-ant colony algorithm. For the lack of pheromones of an initial ant colony algorithm; a genetic algorithm is used to obtain an optimal solution, inspection task characteristics, robot utilization rate, circulation cost and other factors can be comprehensively considered, path pheromones are initialized based on an adaptive value W to form initial pheromone distribution, then node pheromones are selected, traversed and updated according to an ant colony algorithm, and finally the optimal solution is obtained. In the optimization process, the searchspace of an ant colony algorithm solution is expanded through the domain search characteristics of a genetic algorithm cross operator, local optimization is avoided, and the quality of the solution is improved. By applying the method provided by the invention, the robot circulation efficiency and utilization rate are improved while the inspection requirements of the robots of the transformer substations are met, the company resource allocation management level is improved, and the investment of capital and maintenance work is reduced.
Owner:ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
Fault diagnosis method for oil immersed reactor based on IFOA optimized SVM model
InactiveCN109062180AExpand the search spaceStrong global optimization abilityProgramme controlElectric testing/monitoringLocal optimumSupport vector machine
The invention discloses a fault diagnosis method for an oil immersed reactor based on an IFOA optimized SVM model. The method comprises the following steps: preprocessing fault diagnosis data of the reactor, constructing training samples and test samples; establishing a fault diagnosis model of the reactor based on a support vector machine; improving a fruit fly algorithm; establishing a fault diagnosis model of the oil immersed reactor based on IFOA-SVM; and substituting sample data into the fault diagnosis model to achieve fault diagnosis of the reactor. The fault diagnosis method for the oil immersed reactor based on the IFOA optimized SVM model proposed by the invention is suitable for training of small data set of samples. The improved fruit fly algorithm realizes dynamic balance between the global search capability and the local optimization ability, and can effectively avoid the problem of local optimum. The improved fruit fly algorithm is applied to the selection of a penalty parameter C and a kernel function g of the support vector machine, which can realize the optimal selection and adaptive selection of parameters.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MAINTENANCE BRANCH +1
Method for communicating in a mobile network
ActiveUS20120113936A1Expand the search spaceWithout causing more signalling and overheadSignal allocationWireless commuication servicesPrimary stationControl channel
The present invention relates to a method or communicating between a primary station and a plurality of secondary stations, comprising the primary station providing a plurality of resource sets, the primary station configuring a secondary station to search for a control channel on at least one of a plurality of search spaces each corresponding to a resource set, wherein at least part of one of the search spaces is used to transmit a control message to a secondary station, the control message being indicative of a resource allocated to the secondary station for transmitting to the primary station or receiving from the primary station data, and wherein the secondary station deduces from the part of the search space used for transmitting the control message an indication of the resource set from the plurality of resource sets within which the allocated resource is located.
Owner:KONINKLJIJKE PHILIPS NV
LED chip mounter pick-and-paste path optimization method based on hybrid genetic algorithm
ActiveCN111479404AExpand the search spaceIncrease productivityPrinted circuit assemblingForecastingAlgorithmGenetics algorithms
The invention discloses an LED chip mounter pick-and-paste path optimization method based on a hybrid genetic algorithm, and relates to a chip mounter pick-and-paste path optimization method. The objective of the invention is to solve the problems of long pick-up path and low LED patch production work efficiency of an existing method. The method comprises the following steps of: 1, preparing before production, and importing machine parameters and PCB data file information; 2, according to the machine parameters and the PCB data file information determined in the step 1, determining a feeder slot allocation position enabling the movement distance of the chip mounting head to be the shortest; 3, planning a parallel chip mounting head chip picking path, taking the determined feeder slot position distribution midpoint as a starting point and an ending point for optimizing the chip mounting path, searching a feasible solution of the chip mounting path by adopting a hybrid genetic algorithm,and reserving the shortest solution of the chip mounting path; and 4, outputting the solution with the shortest mounting path searched in the step 3 as an optimal solution. The method is applied to the fields of electric appliance technology and electrical engineering.
Owner:宁波智能装备研究院有限公司
Translation rule extract method and translation method based on tree-to-tree translation model
InactiveCN101989257AImprove analysis accuracyImprove translation qualitySpecial data processing applicationsSyntaxHuman language
The invention provides a translation rule extract method based on a tree-to-tree translation model, comprising the following steps: 1), analyzing source language strings and target language strings in training corpus, and outputting the source language compact shared syntax forest of the training corpus and the target language compact shared syntax forest of the training corpus; and 2), extracting translation rules according to the source language compact shared syntax forest of the training corpus and the target language compact shared syntax forest of the training corpus. Since the testing corpus is translated according to the translation rules, the translation quality is effectively improved.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI
Lithium battery health state estimation method based on genetic convolutional neural network
ActiveCN112684346AAchieve estimatesOptimal health traitsElectrical testingAlgorithmNetwork structure
The invention discloses a lithium battery health state estimation method based on a genetic convolutional neural network, and the method specifically comprises the steps of: carrying out charging and discharging of different types of lithium batteries under a constant-current condition till the service life of the battery is ended, finishing recording and forming a constant-current charging voltage curve of the lithium battery; after the battery is charged each time, determining the current capacity of the battery as the true value of a CNN model; characterizing a voltage curve of the recorded voltage curve by using characteristic points, and taking the voltage curve as input data of the CNN model; initializing a network structure and each parameter; grouping the processed training set data, and training each CNN network; and inputting the processed test set data into a group of CNN network structures, and selecting the network structure with the minimum mean square error between the true value and the predicted value as a final prediction model.
Owner:XIAN UNIV OF TECH
Relay charging path planning method and system for small unmanned aerial vehicle
ActiveCN111752303AEfficient solutionExpand the search spaceVehicular energy storagePosition/course control in three dimensionsLocal search (optimization)Simulation
Owner:NAT UNIV OF DEFENSE TECH
Method and system for equalizing distribution of physical downlink control channels
ActiveCN102378263AExpand the search spaceReduce the probability of collisionNetwork traffic/resource managementResource utilizationComputer science
The invention discloses a method and a system for equalizing the distribution of physical downlink control channels. The method includes the following steps: a base station sequentially chooses idle C-RNTIs (cell radio network temporary identifier), and respectively calculates a search space corresponding to each C-RNTI, and if the resource utilization rate of a CCE (control channel element) occupied by one of the search spaces is less than a designated value, the C-RNTI is put into a to-add list; one or more C-RNTIs are chosen from the to-add list and sent to a terminal; after storage, the terminal sends an acknowledgement message to the base station; after receiving the acknowledgement message, the base station locally updates the search spaces corresponding to the terminal, and PDCCH (physical downlink control channel) data corresponding to the terminal are sent on all the search spaces corresponding to the terminal; and the terminal searches the corresponding PDCCH data on the corresponding search spaces. The technical scheme provided by the invention can equalize the distribution of PDCCHs on system resources and reduce the occurrence of PDCCH resource collision.
Owner:北京万海云科技有限公司
Method for processing human jaw facial bone CT image digitalization based on inheritance algorithm
InactiveCN101408979AShorten the lengthExpand the search spaceImage analysisGenetic modelsHuman bodyFacial bone
The invention discloses a human body jaw facial bone CT image digitization processing method based on genetic algorithm and relates to the image processing technical field; the method solves the technical problem that the digitization processing of medical images is easily operated; the digitization processing method comprises the following steps: 1) gray value quantification is carried out on the human body jaw facial bone CT image, and the range is (0, 1), thus obtaining grey level histogram of the image; 2) the calculation of genetic algorithm is carried out to obtain optimal threshold; 3) binarization digitization processing is carried out on the CT image according to the optimal threshold; 4) mathematical morphology processing is carried out to obtain boundary curve of binary image. The digitization processing method of the invention has the characteristics of the digitization processing of being easily to be operated and being capable of realizing the medical images.
Owner:UNIV OF SHANGHAI FOR SCI & TECH
DV-HOP indoor positioning method based on immune particle swarm optimization
ActiveCN108924755AImprove the ability to maintain diversityExpand the search spaceParticular environment based servicesPosition fixationPopulationMutation
The invention provides a DV-HOP indoor positioning method based on immune particle swarm optimization. An immune particle swarm optimization algorithm is introduced into the DV-HOP indoor positioningmethod, and a particle swarm optimization method is improved by using an immune algorithm; the situation with the maximum iteration accuracy and best adaptation is found via crossing and mutation operations of a particle swarm; the diversity maintenance capacity of the particle swarm is improved; the search space of a solution is enlarged; the convergence speed of the algorithm is improved; and the accuracy and the overall search capacity are both significantly improved. Therefore, compared with the traditional DV-HOP indoor positioning method based on the standard particle swarm optimizationalgorithm, the method provided by the invention is significantly enhanced in positioning accuracy. Compared with the indoor positioning method of a ranging mode, the method provided by the invention does not need the support of external hardware, is low in cost, small in overhead and reduced in human input. Under the condition of ensuring the relatively high positioning accuracy, the method provided by the invention is reduced in cost overhead, and beneficial to popularization and application in a large scale.
Owner:HEFEI UNIV OF TECH
State maintenance authorization management method and system
ActiveCN106850232AExpand the search spaceResist attackKey distribution for secure communicationUser identity/authority verificationComputer hardwareHash-based message authentication code
The invention discloses a state maintenance authorization management method and system. The method comprises the following steps: receiving a pre-stored first random number and a first hash message authentication code sent by a terminal after receiving an authorization instruction, and a generated second random number; when the authorization instruction is a first authorization instruction, and when the first hash message authentication code is verified to be correct according to the authentication code of a preset object, the received first random number, a pre-stored third random number and a salt, judging that the terminal passes the authorization, and generating a fourth random number; calculating a second hash message authentication code according to the authentication code of the preset object, the salt, the second random number and the fourth random number; and sending the fourth random number, the second hash message authentication code and a terminal authorization pass result to the terminal. According to the state maintenance authorization management method and system disclosed by the invention, every time when terminal passes the authorization, the random number is regenerated, a new hash message authentication code is calculated and is sent to the terminal for the next time authorization judgment, the authorization state is recorded, and the application demands of complex occasions are satisfied.
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
Image registering method in real number coding based clonal selection algorithm
ActiveCN105184764AOvercome the shortcoming of easy to fall into local optimumImprove operational efficiencyImage analysisNormalized mutual informationLocal optimum
The invention discloses an image registering method in a real number coding based clonal selection algorithm, and mainly solves the problem that the image registering accuracy is not high due to the fact that function optimization tends to local optimization in the prior art. The method comprises the steps that (1) a reference image and a floating image are input; (2) an antibody population is initialized in a real number coding method; (3) a normalized mutual information function is constructed and serves as an objective function; (4) the affinity of population antibodies is calculated; (5) selection, clone and variation are carried out on the antibodies; (6) a memory antibody set is formed; (7) the antibodies are memorized; (8) whether a termination condition is reached is determined, if no, the step (4) is returned to, and otherwise, a step (9) is turned to; and (9) an image is registered by utilizing the optimal antibody, and a result is output. The mutual information function is optimized in the real number coding based clonal selection algorithm, the problem that function optimization tends to local optimization in the prior art is solved, and the image registering accuracy is improved.
Owner:XIDIAN UNIV
Planning method of ship hull plate curved surface forming collaborative machining based on dual mechanical arms
ActiveCN111745653AImproved search equationImprove the development effectProgramme-controlled manipulatorControl engineeringStructural engineering
The invention provides a planning method of ship hull plate curved surface forming collaborative machining based on dual mechanical arms. The problems that a unified analysis and task planning model lacks for a multi-task planning method at present, and a constraint condition is not considered in an actual task distribution process can be solved. The method specially comprises the following stepsof S1, carrying out modeling analysis; S2, through determining of a heating direction of heating paths, determining a beginning end and a tail end of each heating path, and calculating distance cost between the heating paths; S3, selecting and defining variables; S4, determining a constraint condition; S5, determining a ship hull plate curved surface forming dual-mechanical-arm optimizing target;and S6, improving an artificial bee colony algorithm. The improved artificial bee colony algorithm is adopted for carrying out distribution on ship hull plate curved surface forming dual-mechanical-arm machining tasks, the improved artificial bee colony algorithm is adopted for carrying out solving of task planning, and the task distribution problem of dual-mechanical-arm collaborative machining can be effectively solved.
Owner:JIANGSU UNIV OF SCI & TECH
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