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Updated: Jun 20, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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在温室中优化地面环境因素,使用多目标适应性回火遗传算法

Ning Zhang1, Qinyue Tan1, Wancong Song2

  • 1College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi Province, 712100, PR China.

Heliyon
|July 18, 2024
PubMed
概括

本研究介绍了一种多目标适应性回火遗传算法,用于优化温室环境. 与传统方法相比,新的算法大大降低了能源消耗和基础设施需求.

关键词:
适应性优化适应性优化环境因素 环境因素遗传算法 遗传算法 遗传算法温室的温室是一个温室.多目标规划多目标规划

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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