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Updated: Jun 2, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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一个基于球面向量的自适应进化粒子群集优化,用于UAV在威胁条件下的路径规划

Yanfei Liu1, Hao Zhang2, Hao Zheng1

  • 1Department of Basic Courses, Xi'an Research Institute of Hi-Tech, Xi'an, 710025, China.

Scientific reports
|January 15, 2025
PubMed
概括

这项研究介绍了一种基于球体向量的新型自适应进化粒子群集优化 (SAEPSO) 算法,用于无人机 (UAV) 路径规划. 在复杂的环境中,SAEPSO算法提高了解决方案的准确性和融合稳定性.

关键词:
适应 适应 适应进化编程是一种进化编程.在初始化初始化过程中.粒子群集优化优化 粒子群集优化无人机路径规划 无人机路径规划

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