Optimal allocation method of basin water resources based on multi-objective chaotic genetic algorithm

A technology of optimal configuration and chaotic inheritance, which is applied in the field of optimal configuration of water resources, can solve the problems of ergodic large number of iterations, long program running time, and the iterative efficiency needs to be improved, so as to achieve the effect of improving efficiency.

Inactive Publication Date: 2017-12-15
HOHAI UNIV
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Problems solved by technology

However, the chaotic optimization algorithm also has the following disadvantages: it is only suitable for unconstrained optimization and optimization problems with variable boundary values; it is only suitable for

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  • Optimal allocation method of basin water resources based on multi-objective chaotic genetic algorithm
  • Optimal allocation method of basin water resources based on multi-objective chaotic genetic algorithm
  • Optimal allocation method of basin water resources based on multi-objective chaotic genetic algorithm

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Embodiment

[0095] Taking the multi-objective optimal allocation of water resources in the Jushui Basin of Hubei Province as an example, the effectiveness and rationality of the invented method are illustrated. The Jushui River Basin is a tributary of the Yangtze River, with a total length of 170.4km and a drainage area of ​​4367.6km 2 . There are 293 large, medium and small reservoirs in the Jushui Basin, with a total storage capacity of 1.525 billion m 3 , the effective storage capacity is 864 million m 3 , including ponds and weirs, the water supply accounts for 74.2% of the total water supply from storage, diversion and provision. In this study, the Jushui River Basin was generalized into 9 water receiving areas (see Figure 4 ), and the generalized network diagram of the water resources system in the corresponding watershed (see Figure 5 ). According to the situation of the water source supply area in the Jushui Basin, there is no cross-basin water source in this area. The publ...

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Abstract

The invention discloses an optimal allocation method of basin water resources based on a multi-objective chaotic genetic algorithm, and belongs to the technical field of optimal allocation of water resources. The method includes the steps of obtaining basic information of basin water resources; establishing a multi-objective water resource optimal allocation mathematical model and performing allocation model parameter calibration; solving a water resource optimal allocation alternative scheme set by using a multi-objective chaotic genetic algorithm; and finally, determining a best equilibrium scheme of water resource optimal allocation through a chaotic neutral network comprehensive evaluation model. According to the invention, the chaotic ergodicity and the inversion of the genetic algorithm are coupled, the speed of the algorithm is improved, the optimal solution is stable, and the multi-objective optimal allocation requirements of a basin water resource complex system are met.

Description

technical field [0001] The invention discloses a method for optimal allocation of water resources based on a multi-objective chaotic genetic algorithm, belonging to the technical field of optimal allocation of water resources. Background technique [0002] The water resource system is a complex large system composed of the water resource cycle system, the water resource utilization system composed of human activities and their impacts, the ecological environment system, and the interaction of matter, energy, and information inside and outside the region. There is a complex exchange of matter, energy and information between the inside and outside of the water resource system, which jointly promote the evolution of the system; in addition, the distribution, demand, supply and consumption of ecological and economic elements in the water resource system are not uniform, and there is structural non-uniformity. Equilibrium, multiple qualitative differences between subsystems, and ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/04G06N3/12
CPCG06N3/0418G06N3/126G06Q10/04G06Q10/06393G06Q50/06Y02A20/152
Inventor 黄显峰刘娇方国华刘展志李宛谕
Owner HOHAI UNIV
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