Method for regional water-source optimized configuration based on MAEPSO algorithm

A technology for optimizing configuration and water resources, applied in computing, special data processing applications, instruments, etc., can solve problems such as difficult convergence to the frontier of non-inferior solutions, uneven distribution of non-inferior solutions in external archives, etc.

Active Publication Date: 2017-03-22
HOHAI UNIV
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Problems solved by technology

[0005] Purpose of the invention: to provide a MAEPSO algorithm (Multi-objective Adaptive Expanded Particle Swarm Optimization, multi-objective Adaptive extended particle swarm optimization algorithm) regional water resources optimal allocation method, and on the basis...

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  • Method for regional water-source optimized configuration based on MAEPSO algorithm
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  • Method for regional water-source optimized configuration based on MAEPSO algorithm

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[0092] Below in conjunction with specific embodiment, further illustrate the present invention.

[0093] Aiming at the defects that the basic MOPSO algorithm is easy to fall into local convergence, the non-inferior solutions of the external archive set are unevenly distributed, and it is difficult for individuals to converge to the frontier of the non-inferior solutions, the invention provides a regional water resource optimization configuration method based on the MAEPSO algorithm. The method adopts the adaptive adjustment strategy of inertia factor and learning factor, maintains the external archives by using the distance-based method, selects the global guide based on the Sigma selection strategy, and adopts a multi-objective combination of subjective and objective weights on the basis of non-inferior solution sets. Decision-making theory selects the optimal water resource allocation plan to achieve multi-objective optimal allocation of regional water resources.

[0094] Su...

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Abstract

The invention discloses a method for regional water-source optimized configuration based on an MAEPSO algorithm. The method comprises the steps that basis information data of a water resource system is acquired at first; secondly, a water-resource multi-target configuration model is established; then the algorithm based on MAEPSO is executed, and a Pareto optimal solution set of multi-target configuration of the regional water resource system is solved; and finally, a final solution is selected from the optimal solution set according to certain rules. According to the invention, global optimization is achieved; computation efficiency is increased; and a requirement for selecting a multi-target optimal configuration scheme of the water resource system can be satisfied.

Description

technical field [0001] The invention belongs to the technical field of water resource allocation in the field of water conservancy and hydropower, in particular to a method for optimal allocation of regional water resources based on the MAEPSO algorithm. Background technique [0002] The optimal allocation of regional water resources is a highly complex multi-level, multi-stage, multi-subject, multi-objective, multi-association, non-linear risk decision-making problem. In recent years, more and more scholars have carried out in-depth research on the model construction and solution of water resources optimal allocation. Among them, intelligent optimization algorithms have been widely used in model solving, such as genetic algorithm, fuzzy degradation, artificial neural network, Evolutionary algorithms such as chaos optimization algorithm and ant colony algorithm are gradually and widely used in the optimal allocation of water resources. However, due to the complexity and mul...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 闻昕方国华郭玉雪晋恬
Owner HOHAI UNIV
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