Rural road ecological landscape planning system based on interactive genetic algorithm

Shen, Chunlan

doi:10.1051/e3sconf/202126701013

Cited by 2 publications

(1 citation statement)

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“…In view of this research problem, Shen proposed that the feature reconstruction of garden landscape spatial environment art is based on the visual reconstruction of garden landscape spatial environment design image, and the distributed fusion of visual image and binary recognition method can be used for the visual reconstruction processing of garden landscape spatial environment design image [2]. Based on the existing classification, Tamene et al introduced the related concepts, development and role of ARTIFICIAL intelligence in landscape architecture research, and pointed out the specific application and existing problems of various artificial intelligence methods in landscape architecture analysis, design and evaluation [3].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of interactive Genetic Algorithm in landscape planning and design

Li¹,

Sharma²

2022

IJCAI

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This article aims at improving the design effect of garden landscape space environment and optimizes the structure of garden landscape space environment. An optimization design method of garden landscape space environment based on interactive genetic algorithm is proposed in this article by designing a landscape space environment design with image visual feature space distributed monitoring model and fuzzy pixel area feature fusion reconstruction model. The landscape space environment design of the image by multistage decomposition and pixel gray characteristics has been established landscape space environment design image visual feature reconstruction model. The method proposed in this article combines the block area template matching method with landscape space environment design of the image features visual reconstruction. The visual space distributed detection is done with information fusion using the similarity model reconstruction for landscape space environment design of image visual perception process of information fusion. In order to extract fuzzy characteristic landscape space environment design of the image, interactive genetic algorithm is used to realize the quality assessment of landscape art information fusion perception and visual reconstruction. The simulation results show that compared with the traditional method, the visual reconstruction quality of landscape spatial environment design image processed by this method is better along with higher image recognition accuracy, and the output signal-to-noise ratio is improved by 14.6%. The experimental results prove that the introduction of interactive genetic algorithm in landscape planning and design can effectively solve the problems of multi-level feature decomposition and pixel feature separation in the process of landscape design. The proposed method achieves better optimization of landscape spatial environment structure, and achieves good landscape spatial environment design effect.Povzetek: Za snovanje prostorskih krajinskih načrtov, npr. vrtov, je uporabljen interaktivni genetski algoritem.

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Section: Literature Reviewmentioning

confidence: 99%