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Sensor target assignment method and system for multi-objective optimization differential evolution algorithm

A differential evolution algorithm and multi-objective optimization technology, applied in the field of information fusion, can solve problems such as difficulty in obtaining preference weights, and achieve the effects of saving sensor resources, rationally and effectively allocating, and realizing resources

Active Publication Date: 2014-11-19
NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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Problems solved by technology

[0006] In view of this, it is necessary to provide a multi-objective optimization differential evolution algorithm sensor target allocation method and system that can overcome the defect that the preference weight value is not easy to obtain in the existing multi-sensor multi-objective allocation method

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Embodiment Construction

[0032] figure 1 A sensor target allocation method for a multi-objective optimization differential evolution algorithm provided by an embodiment of the present invention, which includes the following steps:

[0033] S1. Obtain characteristic parameters of the monitored target, evaluate the characteristic parameters to obtain the target importance of the target, and perform normalization processing on the target importance to obtain the target threat weight.

[0034] For example, m targets are obtained from the information to be monitored, feature parameters are extracted, and the target importance is estimated to be w i (i=1,2,...,m), and the estimation of the importance of the specific target can be calculated by common methods such as multi-attribute decision-making, fuzzy logic method, Bayesian network or neural network. Calculate the normalized threat weight for the obtained target importance.

[0035] In the step S1, the calculation formula of the target importance is as...

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Abstract

The invention discloses a sensor target assignment method for a multi-objective optimization differential evolution algorithm. The method includes the steps that objective importance degree calculation is carried out according to objective information, a sensor target assignment constraint multi-objective optimization function is built, distribution scheme codes and initial population chromosomes are generated, offspring scheme populations are generated through the differential evolution algorithm, population combination and screening are carried out, and a distribution scheme Pareto front-end solution set is obtained. The method is combined with the differential evolution algorithm, is easy to use in terms of population difference heuristic random search, is good in robustness and has the advantages of being high in global search ability and the like. A Pareto set multi-objective optimization assignment strategy is provided. A sensor utilization rate function is added on the basis of a sensor target monitoring efficiency function, an assignment problem is converted into a multi-objective optimization problem, sensor resources can be saved as much as possible on the condition that monitoring precision requirements are met, and reasonable and effective assignment of the sensor resources is achieved.

Description

technical field [0001] The invention relates to the technical field of information fusion, in particular to a sensor target allocation method and system of a multi-objective optimization differential evolution algorithm. Background technique [0002] With the development of science and technology, a large number of multi-sensor systems facing complex application backgrounds have emerged, and have been widely used in various fields such as industry, agriculture, transportation, weather forecasting, environmental monitoring, and earth science observation. In order to give full play to the collaborative detection performance of multi-sensor systems, the sensor resources must be allocated scientifically and rationally, so the concept of sensor management in the field of information fusion has emerged. Sensor management refers to the use of multiple sensors to collect information about the target and the environment, task-oriented, and under certain constraints, reasonably alloca...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 李伦吴汉宝黄友澎胡忠辉
Owner NO 709 RES INST OF CHINA SHIPBUILDING IND CORP
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