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Heuristic optimization method based on two-line hybrid rice breeding mechanism

A heuristic optimization and hybrid rice technology, applied in hybridization, genomics, genetic models, etc., to achieve fast search, strong search ability, and fewer parameters

Inactive Publication Date: 2019-02-22
HUBEI UNIV OF TECH
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Problems solved by technology

[0005] In order to solve complex optimization problems such as image processing, pattern recognition, traveling salesman problem, and resource scheduling, the present invention pioneered a heuristic optimization method based on a two-line hybrid rice breeding mechanism, which has a faster search speed and Strong global optimization ability

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  • Heuristic optimization method based on two-line hybrid rice breeding mechanism
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  • Heuristic optimization method based on two-line hybrid rice breeding mechanism

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Embodiment Construction

[0025] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0026] please see figure 1 , a kind of heuristic optimization method based on two-line hybrid rice breeding mechanism provided by the present invention is applied in image processing, pattern recognition, traveling salesman problem, resource scheduling complex optimization problem solving process; comprises the following steps:

[0027] Step 1: Randomly initialize the rice seeds; initialize the i-th rice seed X i The gene sequence is: N represents the number of rice seeds;

[0028] Step 2: Set parameters;

[0029] The parameters include the number of ric...

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Abstract

The invention discloses a heuristic optimization method based on a two-line hybrid rice breeding mechanism. Search populations are classified into two classes: a maintainer line population and a sterile line population. On the basis of improvement of the genes of the sterile line population, the gene quality is improved and thus the high yield is obtained. According to the invention, the two-linehybrid rice breeding mechanism continues; the designed heuristic optimization method needs a few of parameters and the time complexity is reduced, so that the searching speed is increased while the search ability is ensured. The heuristic optimization method can be applied to the calculation process of complicated optimization problems like image processing, pattern recognition, traveling salesmanissue and resource scheduling. The high-quality feasible solution can be found out with the acceptable time costs.

Description

technical field [0001] The invention belongs to the technical field of computational intelligence, relates to a heuristic optimization method on an optimization problem, in particular to a heuristic optimization method based on a two-line hybrid rice breeding mechanism. The invention is applied in the process of solving complex optimization problems such as image processing, pattern recognition, traveling salesman problem, and resource scheduling. Background technique [0002] Since the 1970s, some evolutionary algorithms, which are completely different from the classic mathematical programming principles, have appeared one after another, trying to solve complex optimization problems by simulating natural ecosystem mechanisms or natural phenomena, such as genetic algorithms, artificial immune algorithms, differential evolution algorithms, etc. . These algorithms have greatly enriched modern optimization techniques, and also provide practical solutions to combinatorial optim...

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Application Information

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IPC IPC(8): G16B20/00G16B25/00G16B40/00G06N3/12
CPCG06N3/126
Inventor 叶志伟杨娟马烈王春枝陈宏伟
Owner HUBEI UNIV OF TECH
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