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
CN103324978AInactive Publication Date: 2013-09-25HARBIN ENG UNIV
3 Cites 25 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HARBIN ENG UNIV
Publication Date
2013-09-25
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More