Water resource optimization scheduling method based on improved multi-target quantum genetic algorithm

A quantum genetic algorithm and optimization scheduling technology, which is applied in the field of water resource optimization and scheduling, and can solve the problems of uneven distribution of non-inferior solutions in external archives, and it is difficult for individuals to converge to the frontier of non-inferior solutions.

Inactive Publication Date: 2017-12-29
HOHAI UNIV
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Problems solved by technology

[0005] Purpose of the invention: In view of the defects that the basic multi-objective quantum genetic algorithm is easy to fall into local convergence, the distribution of non-inferior solutions in the external file set is uneven, and it is difficult for individuals to converge to the frontier of non-inferior solutions, etc., to provide a water resource based on an improved multi-objective quantum genetic algorithm Optimizing the dispatching method, and using the multi-objective decision-making theory of the fuzzy analytic hierarchy process to select the optimal water resource dispatching scheme on the basis of the non-inferior solution set of the external archives, to realize the multi-objective optimal dispatch of water resources

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  • Water resource optimization scheduling method based on improved multi-target quantum genetic algorithm
  • Water resource optimization scheduling method based on improved multi-target quantum genetic algorithm
  • Water resource optimization scheduling method based on improved multi-target quantum genetic algorithm

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[0066] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of this application.

[0067] A water resources optimal scheduling method based on an improved multi-objective quantum genetic algorithm, comprising the following steps:

[0068] Step 1: Obtain the basic information and data of water resources system engineering, including: pumps, gate stations and reservoirs and other water conservancy projects flow capacity value q, initial and final storage capacity limit V, normal water storage level Z 正 , Flood control limit water level Z 防 , dead water level Z 死 , the volume-water leve...

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Abstract

The invention discloses a water resource optimization scheduling method based on an improved multi-objective quantum genetic algorithm. The steps are as follows: firstly, obtain the basic information data of the water resource system; secondly, establish a water resource optimal scheduling model; and then execute the improved multi-objective quantum genetic algorithm. The algorithm solves the optimal pareto non-inferior solution set of the water resource system, and uses certain rules to select the final result from the optimal solution set. The invention realizes global optimization, improves calculation efficiency, and satisfies the requirement of selecting a multi-objective optimal scheduling scheme for a water resource system.

Description

technical field [0001] The invention relates to a water resource optimization scheduling method based on an improved multi-objective quantum genetic algorithm, and belongs to the technical field of water resource scheduling in the field of water conservancy and hydropower. Background technique [0002] The optimal dispatch of water resources is a highly complex multi-constraint, multi-stage, multi-objective decision-making dynamic nonlinear optimal control problem. The core is the regulation of water volume through the water resource allocation system, which has the characteristics of mutual benefit and interregulation of multiple water sources. Especially for water conservancy projects with comprehensive functions such as flood control, power generation, irrigation water supply, shipping, and ecology, the complexity of its optimization solution is increased. The research on the optimal dispatch of water resources began in the 1940s, starting with the design of six reservoir...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 雷晓辉闻昕王攀张宇虹
Owner HOHAI UNIV
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