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36 results about "Brainstorming" patented technology

Brainstorming is a group creativity technique by which efforts are made to find a conclusion for a specific problem by gathering a list of ideas spontaneously contributed by its members. In other words, brainstorming is a situation where a group of people meet to generate new ideas and solutions around a specific domain of interest by removing inhibitions. People are able to think more freely and they suggest as many spontaneous new ideas as possible. All the ideas are noted down without criticism and after the brainstorming session the ideas are evaluated. The term was popularized by Alex Faickney Osborn in the 1953 book Applied Imagination.

Index weight distribution method based on AHP and expert sorting empowerment

The invention discloses an index weight distribution method based on an AHP and expert sorting empowerment. The method comprises the following implementation steps that 1, an individual judgment matrix Ae of experts is built on the basis of individual judgments of the experts, and the individual judgment matrix needs to be processed through consistency verification; 2, the same weight is given to each expert to build a primary group judgment matrix Aa, and a primary group decision index weight vector Ua is calculated; 3, different weights we are given to the experts according to expert sorting; 4, a secondary group decision index weight vector Ub is calculated; 5, index weights are output according to the Ub. According to the method, the positive effect of group decision and brainstorming of the experts is effectively achieved, and meanwhile the negative influence of individual extreme preferences in the group decision on the decision is effectively corrected; compared with an index weight distribution method based on the AHP and expert clustering, the method has the advantages that expert clustering iteration computation does not need to be performed, expert clustering convergence conditions do not need to be determined, the calculating steps are clear, and the calculating amount is less.
Owner:ZHEJIANG UNIV OF TECH

Optimal target coverage method for heterogeneous sensor network based on quantum brainstorming

ActiveCN107396375AAddresses shortcomings that cannot be applied to discrete problemsProof of validityNetwork topologiesNetwork planningAlgorithmHeterogeneous network
For the disadvantages that the existing method is poor in optimizing result and slow in convergence speed and loses efficacy while the joint perceptive probability is relatively high when the problem of optimal equivalent working sensor distribution in target coverage is solved, the invention provides a novel optimal target coverage method for a heterogeneous sensor network. By means of the optimal target coverage method provided by the invention, the disadvantage that the current brainstorming optimization algorithm cannot be applied to a discrete problem can be solved; and the application range of the brainstorming algorithm is expanded. A simulation result shows that: compared with the existing classical target coverage method, the convergence speed and the convergence precision of the optimal target coverage method in the invention are relatively superior; therefore, the effectiveness of the optimal target coverage method in the invention is proved; under same conditions, when the joint perceptive probability constraint is relatively strict, the traditional method can lose efficacy; but, the method in the invention still is feasible. According to the optimal target coverage method provided by the invention, scheme exchange in a brainstorming process is reflected in the generation mode of a new scheme in a fusion manner; and, compared with scheme exchange of the original brainstorming algorithm, the scheme exchange is relatively wide, and is closer to a real brainstorming process.
Owner:HARBIN ENG UNIV

Flow method based on facilitation type management team meeting cooperation and decision

The invention discloses a flow method of meeting cooperation and a decision. The flow method is mainly applied to the decision-making on key problems of a facilitation type management team in the fields of education, information and business. The flow method comprises the meeting module control, meeting flow of the cooperation and the decision making, decision result quantitative evaluation and amendment feedback. The flow method of the meeting cooperation and decision in the claim 1 is characterized by comprising the first step of formulating a reasonable meeting module, control time and the number of people taking participation in a meeting, the second step of initially collecting and classifying the viewpoints of team members based on the methods of brainstorming, rice flower picking up, leafhopper thinking and bucket rambling, further screening and rectifying and putting forwards targeted and integrated points, the third step of carrying out write-in or secret balloting, counting scores in a quantitative mode and evaluating and rectifying to obtain the decision result, and the fourth step of formulating the flow method based on the team meeting cooperation and decision by a large amount of experimental measurement and comparison. The normalization and effectiveness of decision making in the field in China are facilitated.
Owner:程絮森 +3

A UV Path Planning Method Based on Improved Brainstorming Optimization Algorithm

The present invention relates to an AUV path planning method based on an improved brainstorming optimization algorithm, which specifically includes the following steps: 1. Construct a three-dimensional optimal navigation surface, randomly generate n groups of initial path control parameters and divide them into m categories, and a group of parameters depends on For an individual, calculate the cost function value of the individual, and the optimal individual of each class becomes the center of the class; 2. Select the individual to be mutated according to the brainstorming optimization algorithm, apply the global optimal strategy to the mutated individual, and obtain a new Individuals, survival of the fittest to update the population; 3. Multiple iterations until the number of iterations meets the termination condition, and output the optimal individual. The invention makes full use of the advantages of the brainstorm optimization algorithm based on global optimization and differential mutation in dealing with low-dimensional problems, captures the characteristics of the cost function well through differential mutation, fully utilizes ocean currents to reduce voyage time, and combines following the global optimal strategy , so that the algorithm has a higher potential to find a better solution in a shorter time.
Owner:NAVAL UNIV OF ENG PLA

Optimal Target Coverage Method for Heterogeneous Sensor Networks Based on Quantum Brainstorming

ActiveCN107396375BAddresses shortcomings that cannot be applied to discrete problemsProof of validityNetwork topologiesNetwork planningAlgorithmBrainstorming
For the disadvantages that the existing method is poor in optimizing result and slow in convergence speed and loses efficacy while the joint perceptive probability is relatively high when the problem of optimal equivalent working sensor distribution in target coverage is solved, the invention provides a novel optimal target coverage method for a heterogeneous sensor network. By means of the optimal target coverage method provided by the invention, the disadvantage that the current brainstorming optimization algorithm cannot be applied to a discrete problem can be solved; and the application range of the brainstorming algorithm is expanded. A simulation result shows that: compared with the existing classical target coverage method, the convergence speed and the convergence precision of the optimal target coverage method in the invention are relatively superior; therefore, the effectiveness of the optimal target coverage method in the invention is proved; under same conditions, when the joint perceptive probability constraint is relatively strict, the traditional method can lose efficacy; but, the method in the invention still is feasible. According to the optimal target coverage method provided by the invention, scheme exchange in a brainstorming process is reflected in the generation mode of a new scheme in a fusion manner; and, compared with scheme exchange of the original brainstorming algorithm, the scheme exchange is relatively wide, and is closer to a real brainstorming process.
Owner:HARBIN ENG UNIV
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