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Multi-objective decision engine parameter optimization method based on multi-objective quantum ant colony algorithm

A technology of multi-objective decision-making and optimization method, which is applied in the field of multi-objective decision-making engine parameter optimization, and can solve problems such as finding the optimal solution

Inactive Publication Date: 2013-09-25
HARBIN ENG UNIV
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Problems solved by technology

Cognitive radio multi-objective decision engine technology can be regarded as a discrete multi-objective combination optimization problem, which is a classic NP problem, and it is difficult to find the optimal solution in a limited time

Method used

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  • Multi-objective decision engine parameter optimization method based on multi-objective quantum ant colony algorithm
  • Multi-objective decision engine parameter optimization method based on multi-objective quantum ant colony algorithm
  • Multi-objective decision engine parameter optimization method based on multi-objective quantum ant colony algorithm

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawing:

[0047] Aiming at the deficiencies of the linear weighting method of the decision engine of the existing cognitive radio system, the present invention proposes a multi-objective cognitive engine parameter optimization method that simultaneously considers the objectives of minimizing transmit power, minimizing bit error rate, and maximizing data rate. . This method first proposes quantum pheromones, and then proposes a multi-objective quantum ant colony optimization method, and based on the sorting of non-dominated paths, the Pareto front-end path of a uniformly distributed non-dominated path set is obtained. In actual engineering applications, according to the actual communication environment and requirements, different weights can be selected for the three objectives, and the most suitable path can be selected from the Pareto front-end path set. Therefore, the method propo...

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Abstract

The invention relates to a multi-objective decision engine parameter optimization method capable of enabling the minimum transmitting power, the minimum bit error rate and the maximum data rate to a cognitive radio system to be optimal at the same time. The method comprises steps of establishing a multi-objective decision engine model, calculating a multi-objective quantum ant colony algorithm path initial value, initializing a quantum information element of a multi-objective quantum ant colony algorithm, carrying out non dominated path sorting and the calculation of path congestion, sorting paths with the same non dominated path sorting rank, selecting a path with a non dominated path sorting rank of 1 and adding the path into an elite path set, calculating the path congestion, and selecting a path mapping to obtain the needed system parameter. According to the method, a discrete multiple-objective decision engine parameter optimization problem is solved, and the multi-objective quantum ant colony algorithm with non dominated path sorting is designed as a solution strategy, and the convergence precision is raised. The minimum transmitting power, the minimum bit error rate and the maximum data rate are considered at the same time, and the applicability is broadened.

Description

technical field [0001] The invention relates to a multi-objective decision-making engine parameter optimization method based on a multi-objective quantum ant colony algorithm, which simultaneously enables a cognitive radio system to minimize transmission power, minimize a bit error rate, and maximize a data rate. Background technique [0002] With the rapid development of wireless communication, the serious shortage of limited spectrum resources has become increasingly prominent, which has become an obstacle restricting the sustainable development of wireless communication. Cognitive radio is a new technology proposed in recent years to solve the phenomenon of spectrum resource shortage. This technology enables cognitive users to use idle spectrum without interfering with licensed users and other cognitive users, making full use of spectrum resources, improving system capacity and spectrum utilization, and alleviating the shortage of spectrum resources and the rapid growth. ...

Claims

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Application Information

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IPC IPC(8): G06N3/00
Inventor 高洪元李晨琬赵宇宁刁鸣
Owner HARBIN ENG UNIV
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