Green Landscape Design Based on Niche Genetic Algorithm for E-Business Solutions

Guoxing Chen, Ashutosh Sharma
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引用次数: 1

Abstract

In order to solve the unreasonable problems in green environmental protection design, this paper proposes a green building landscape space environment optimization design scheme based on niche genetic algorithm, which optimizes the building landscape size by multi-objective. The target of optimization includes the cost of building and public facilities such as green belt. The purpose of this article is to present an optimization design scheme using genetic algorithm that can optimize the size of landscape and cost reduction and providing facilities by processing the information. The results show that: People's satisfaction value of square and Pedestrian Street is 0.61 and 0.38, respectively. In conclusion it has been analyzed that the scientific planning and design of urban architectural landscape is of great significance to improve the urban appearance. It has been further concluded that the proposed approach enhances the quality of urban environment, development of urban economy and open to the outside world.
电子商务解决方案中基于生态位遗传算法的绿色景观设计
为了解决绿色环保设计中存在的不合理问题,本文提出了一种基于小生境遗传算法的绿色建筑景观空间环境优化设计方案,通过多目标优化建筑景观尺寸。优化的目标包括建筑成本和绿化带等公共设施成本。本文的目的是提出一种利用遗传算法的优化设计方案,通过处理信息来优化景观的大小,降低成本并提供设施。结果表明:人们对广场和步行街的满意度值分别为0.61和0.38。最后分析了科学的城市建筑景观规划设计对改善城市风貌具有重要意义。进一步得出结论,该方法有利于提高城市环境质量,促进城市经济发展和对外开放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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