31 results about "Objective programming" patented technology

The present inventionprovides a multi-objective programming radio sensing network routing arithmetic based on the dynamic cluster, essentially comprising the following steps: 1) inputting the basic information of the sensor network, calling the first energy-consumption pattern and accounting the energy consumed by the whole network for once data transmission, the best cluster-head data kopt; 2) calling the dynamic cluster pattern, setting the variables and class number of the dynamic cluster pattern, the variable of the cluster is the coordinate of the node, and the class number is the best cluster-head data kopt, defining the indicator function of the comprehensive evaluation: C(P)=w1f(P)-w2W(P)+w3D(P), according to the indicator function, accounting the costs of the routes from the source node to the destination node, after that, selecting the link with the smallest cost as the route from the source node S to the destination node D. The present invention provides a multi-objective programming radio sensing network routing arithmetic based on the dynamic cluster which has quick accounting speed and comparatively small energy consumption and reduces the complexity, effectively satisfying the requirements to the network OoS service.

A method of programming a bionic ear cochlear implant provides access to the full functionality of the implant, while still providing a simple-to-administer, more reliable, and faster fitting experience for the patient and clinician. The method includes (a) conducting a pre-evaluation stage focused on sorting and identifying bad electrode contacts, reducing fitting time and improving patient performance; (b) conducting a programming stage wherein T and M levels are adjusted based on information derived during the pre-evaluation stage; and (c) conducting a post-evaluation stage wherein wired speech understanding tests are automatically run in order to provide an objective programming choice. The pre-evaluation stage automatically runs a set of objective tests, and then, based on the result of such tests, generates a template for the clinician to use during the programming stage. The objective tests, inter alia, identify and remove bad electrode contacts from the template. The post-evaluation stage quickly runs some unattended wired speech understanding tests that allow objective rather than subjective programming choices to be made.

The invention discloses an electric vehicle power matching optimization method based on multi-objective programming. The method comprises the steps of: firstly, the performance indexes and key parameters of electric vehicle were determined. Secondly, the preliminary selection of the power system is calculated by physical formula, and the selection schemes of the power system are determined by combining the market and other factors. Then, the performance of the whole vehicle corresponding to different power matching schemes is evaluated by Cruise software simulation. Finally, considering the dynamic performance, economic performance, cost and other factors of each matching scheme, the optimal dynamic matching scheme is determined by using the multi-objective programming method. The invention calculates the performance indexes of the whole vehicle such as the maximum vehicle speed, the range of endurance and the like according to the parameters of the alternate electric motor, the battery and other parts of the enterprise, and screens out the optimal matching scheme from a plurality of schemes according to the factors such as the cost, which has an important guiding function for theactual research and development of the electric vehicle.

The invention relates to a double-fed fan comprehensive control method for optimizing the transient steady-state frequency of a microgrid. The double-fed fan comprehensive control method comprises thefollowing steps that (1) a microgrid system composed of three power sources of wind power, photovoltaic power and synchronous motor is constructed; (2) virtual inertia control is adopted to reduce the dynamic frequency deviation during the transient frequency supporting phase when a fan participates in frequency modulation; (3) active-power frequency droop control is adopted to improve the steady-state frequency in the steady-state frequency recovery phase when the fan participates in frequency modulation; and (4) the droop control parameters of the fan are taken as control variables, a multi-objective programming model which taking dynamic frequency deviation on a terminal bus, steady-state frequency deviation of a system, fan output power and rotor speed recovery time as evaluation indexes is constructed, and the optimal droop control parameters of the fan are obtained through particle swarm optimization to complete DFIG comprehensive control including the virtual inertia control and the droop control. Compared with the prior art, the double-fed fan comprehensive control method has the advantages of improving rotor kinetic energy, fully participating in frequency modulation andreducing the dynamic frequency deviation and the steady-state frequency deviation.

The invention relates to a mixed integer programming-based multi-objective distributed generation (DG) locating and sizing method. Based on a DG time sequence characteristic, a multi-objective DG locating and sizing model considering DG investment, operation and maintenance costs and network loss cost is built. In order to obtain uniformly distributed Pareto front solutions, a multi-objective problem is solved by adopting a normal boundary intersection (NBI). The DG locating and sizing programming model is converted into a second-order cone programming (SOCP) model by adopting a forward-backward sweep method power flow equation of a power distribution network and a constraint relaxation strategy, and the problem is solved by adopting a CVX platform and a GUROBI solver. The combination of the SOCP model and the NBI method for solving power distribution network multi-objective programming is also suitable for other power distribution network related problems, and new ideas and computable methods can be provided for power distribution network programming and running optimization.

The invention provides a multidimensional node deployment optimization method of an underwater wireless sensor network based on grid partition. In a node deployment problem of the underwater sensor network, a to-be-sensed cuboid area is divided into cuboid networks with specifications of K*M*L, the minimum control on the node number is deployed, the maximum value of the network coverage efficiencyis calculated, the maximum network transmission communication efficiency is controlled, the minimum network coverage redundancy is controlled, the network survival time is controlled to be as long aspossible, and a mathematic model of multi-objective programming can be solved to convert a plurality of indexes into a single target function for calculation so as to obtain a better deployment strategy. By adoption of the multidimensional node deployment optimization method provided by the invention, the network coverage efficiency, the coverage redundancy, the network survival time, the node cost and the transmission communication efficiency are all considered.

A method and a system for determining configuration and evaluation of distributed generation in a distribution network are provided. The method and system include: the index system and the model of each index for evaluating the reliability of distribution network connected with distributed generation are established, according to the network loss of distribution network,the outage cost and the investment cost of the distributed generation are used to establish an economic model of the distribution network to which the distributed generation is connected, and the power supply reliability indexmodel and the economic model are used as a multi-objective programming model of the distribution network to which the distributed generation is connected, and the optimal configuration of the distributed generation in the distribution network is obtained by using a genetic algorithm. The method and system simultaneously optimize the location and the access capacity, and by comparing and analyzingthe power supply reliability and economy of the distribution network without adding the distributed generation and after adding the distributed generation, the optimal configuration of the access distributed generation in the distribution network is determined to improve the power supply reliability and economy of the distribution network.

The invention relates to the field of water resources distribution, and discloses a method based on Steinberg-Nash-Cournot equilibrium method of optimal allocation of water resources to solve the conflict of interest and multi-level management structure of the irrigation district. The invention firstly establishes a Steinberg-type water right exchange system based on the water right exchange method, and the Steinberg-type water right exchange system comprises: Nash-Cournot equilibrium model; then the optimal solution and the worst solution of the objective function of the upper and lower models of the equilibrium model are calculated. Then the membership function of the upper and lower objective functions is constructed based on the fuzzy objective programming method and the maximum and minimum values of the upper and lower objective functions. Then input the minimum degree of satisfaction of the upper and lower decision-makers; finally, by using the dynamic interaction mechanism, heuristic algorithm, the minimum satisfaction degree of the upper and lower decision makers and the membership function of the upper and lower objective functions, the solution satisfying the satisfactiondegree of the upper and lower decision makers is obtained. The invention is applicable to the distribution of agricultural irrigation water resources.

The invention discloses a low-carbon usable transmission capacity calculation method adopting a wind power plant. Through multi-objective programming and coordinative optimization, usable transmission capacity and carbon emission are determined. The method includes the steps that firstly, a multi-objective optimization model containing the wind power plant and a carbon capture device is established, the largest transmission capacity and the smallest carbon dioxide emission serve as objective functions, and a solution of the determinacy multi-objective optimization model is acquired through a normal boundary bracketing method; according to the indeterminacy of wind power output, a system safety constraint is expressed in a chance constraint mode; based on the acquired determinacy solution, probabilistic power flow calculation is conducted, a chance constraint is adjusted to be a determinacy constraint through a semi-invariant and a Cornish Fisher level, and solutions are acquired continuously and iteratively till the condition of the chance constraint is met. By the adoption of the method, the relationship between safety and environment friendliness of a power system is coordinated and the method has the practical significance under the low-carbon emission-reduction background.

The present invention discloses a screening method of energy saving and emission reduction projects. The screening method comprises: obtaining energy saving and emission reduction projects available for enterprise implementation, and forming a list of the energy saving and emission reduction projects; calculating five indexes, such as an annual quantity of energy saving, an annual reduction, an investment cost, an investment recovery period and a net present value, of each energy saving and emission reduction project in the list of the energy saving and emission reduction projects; obtaining an index quantity of energy saving and an index quantity of emission reduction of an enterprise; and defining the five indexes of the energy saving and emission reduction project in the list of the energy saving and emission reduction projects as an objective function, defining the indexes of the annual quantity of energy saving and the annual quantity of emission reduction as a constraint condition, establishing a multi-objective programming model, and screening out energy saving and emission reduction projects satisfying the conditions. According to the screening method of energy saving and emission reduction projects, through the screening of five indexes, such as an investment cost, an investment recovery period, a net present value, an annual quantity of emission reduction and an annual quantity of energy saving, of a project list, a list of objectives is determined, and energy saving and emission reduction projects of enterprises are determined.

The invention provides an electricity utilization management peak staggering (peak shifting) strategy optimization method based on multi-objective programming. According to the method, a peak shifting influence factor index system considering five influence factors including the economy, the safety, the service, the management and the policy is built, the selection optimization strategy of the multi-objective programming based on the peak shifting influence factor index system is built, in addition, an implicit enumeration method is used for accelerating the model solving process, then, an optimization peak avoiding management scheme is made according to the model solving results, the peak load shifting effect is realized on a system load curve, meanwhile, the adverse influence on the local economy is minimum, the safety and the stability of the operation of an electric network are ensured, and the electric network economic benefits and the customer satisfaction level are maximized. The method has the advantages that the automation measure is adopted for making the peak avoiding scheme, dispatching personnel do not need to manually determine which electricity utilization customers are peak avoiding objects, the non-optimal feasible solutions are reduced through reinforcing the constraint conditions, the implicit enumeration method is adopted for accelerating the model solving speed, and the time complexity of the model solving is effectively reduced.

The invention discloses a Lagrange function based least-squares multi-objective optimization method which includes the steps of step 1, converting multi-objective programming into single-objective programming; step 2, fitting established models to obtain a fitting error; step 3, obtaining an optimal solution model; step 4, interposing a weighted factor beta into a target function Q(n); step 5, obtaining an extended function; step 6, removing non-negative weights from the optimal solution model; and step 7, calculating an optimal weighting coefficient by least-squares criterion. By the method, a system can evolve to the equilibrium state no matter how the initial state of the system is, a neural network can converge a variable into a unique global optimal solution no matter how an initial value of an optimized variable is.

The invention relates to an optimization method for operating parameters of a fluid heating snow melting system based on a multi-objective programming, and relates to an optimization method for operating parameters of the fluid heating snow melting system. The invention solves the problems that the prior art can not calculate the snow melting effect and the operation cost of the system and can notdetermine the optimal operation parameters. The invention comprises the following steps: 1. Establishing a snow melting effect database of a fluid heating snow melting system; 2, calculate that snowmelting effect of the fluid heat snow melting system under a certain working condition; 3, obtain that operating cost M of the fluid heat snow melting system in the range of the unit area road body according to the heat flux q; IV. Evaluation of M; 5. Establishing the optimization model of the operation strategy of the fluid heating snow melting system by using the method of multi-objective programming; 6, obtaining the optimal operation parameters of the fluid heat snow melting system under a certain working condition; 7, repeat that step 6 to obtain the control chart of the operation parameters of the fluid heat snow melting system under the full working condition. The invention is used in the field of transportation engineering.

The invention provides a credit rating optimal weight vector determining method based on the maximum default discriminating ability approximating an ideal point, which belongs to the technical field of credit services. The minimum algebraic sum of the Euclidean distance from the credit score of a non-defaulting enterprise to a positive ideal point and the minimum algebraic sum of the Euclidean distance from the credit score of a defaulting enterprise to a negative ideal point are uses as the first objective function. The minimum dispersion degree of the distance between the score of the non-defaulting enterprise and the positive ideal point and the minimum dispersion degree of the distance between the score of the defaulting enterprise and the negative ideal point are used as the second objective function. A multi-objective programming function is constructed to reverse a group of optimal weights of a credit rating equation. The size of the score of the credit rating equation can significantly distinguish non-defaulting or defaulting customers. The rating result of the credit rating equation is that the score of the non-defaulting enterprise is the highest, while the score of the defaulting enterprise is the lowest. Crossover between two types of samples is minimized.

The invention discloses a parking space management platform based on a personal credit evaluation system, comprising an operation strategy center platform. The operation strategy center platform is provided with a model establishment module which determines an idle parking space capacity, collects parameter data, and establishes a parking space capacity model of a parking target area; the operation strategy center platform is also provided with a parking recommendation module which establishes the personal credit evaluation system based on a personal credit rating method, regulates the parkingof a user, and provides an optimal recommended parking space according to different parking spots in the area through multi-objective programming. Combined with the personal credit evaluation system,the behavior of parking users is regulated, and the decisions made are easier to implement.

A network planning method for underground logistics system based on 0-1 programming and prim algorithm, includes such steps as selecting secondary node and auxiliary region, using prim algorithm to construct route of primary node and secondary node and its auxiliary point, selecting tunnel and track specifications, arranging transportation vehicle type and vehicle number, and completing logisticssystem network planning and output result; On the basis of satisfying different conditions such as service scope, ensuring ground freight volume receiving and dispatching, alleviating traffic congestion degree and the like, the method obtains the objective programming expression of nodes at all levels, and adjusts under the requirement of ensuring full coverage of traffic congestion area accordingto the principle of high and low congestion index and uniform distribution of regional points. Prim algorithm is used to establish track connection, which ensures the shortest route and the lowest cost Traffic congestion is reduced and the solving process is simplified, which provides a whole set of methods for the construction of underground logistics system network and can be popularized according to the characteristics of freight distribution in each target area.

The invention discloses a quantitative analysis method for policy impact evaluation and optimization based on an entropy weight method and multi-objective programming. The method comprises the steps that main influence indexes of a plastic drinking water bottle forbidding policy are determined according to various influences generated in the plastic drinking water bottle production process and theinfluence of the plastic drinking water bottle forbidding policy on life of people, and the weight of each influence index is calculated through an entropy weight method; constructing a multi-objective optimization model on the basis of three objectives that the influence on the environment is minimum, the influence on the life of people is minimum and the cost of purchasing bottled water by people is minimum after the policy of forbidding execution of the plastic drinking water bottle is executed; and searching an optimal solution of the multi-objective optimization model through a genetic algorithm, and quantitatively analyzing an optimization method of each influence index. The method quantifies the execution effect of the policy of prohibiting the plastic drinking water bottle, is beneficial for a decision maker to reasonably improve the policy of prohibiting the plastic drinking water bottle, and has relatively high application value.

The present invention belongs to the field of reservoir development project management technology, specifically provides a gas industrial system simulation and optimization method, and relates to the establishment, simulation and solution methods of a regional gas industry dynamic programming model. The invention discloses the simulation and optimization method of a gas system in a rough environment, the gas industry is conveniently planned, and a basis is provided for the making of relevant policies and decisions. The method comprises the steps of (A) determining the product types included in the gas industry and corresponding weights, (B) setting a rough variable in the gas industry, (C) constructing a gas industry rough multi-objective programming model, (D) using a rough expectation operator to process the model, and (E) solving the model. The system and the method are suitable for the gas industry planning.

The invention relates to a method and a system for selecting a location of a regenerative electric boiler to be connected to a distribution network, which is characterized in that the method comprisesthe following steps: determining a heating supply area of the regenerative electric boiler according to the geographical position distribution of a building to be heated; according to the geographical position of the heating area of the regenerative electric boiler, determining the nodes of the distribution network involved in the heating area, and screening the nodes of the distribution network,according to the selected distribution network nodes and the pre-established working characteristic model of regenerative electric boiler, determining the constraint conditions of the multi-objectiveprogramming model for the location selection of regenerative electric boiler, according to the constraint conditions of the heating supply area of the regenerative electric boiler and the multi-objective programming model, solving the multi-objective programming model, obtaining the optimal distribution network node, and completing the location selection of the regenerative electric boiler connecting to the distribution network. The invention can be widely applied in the technical field of distribution network optimization planning.