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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models

M.Naser Lessani Zhenlong Li Jiqiu Deng Zhiyong Guo

地球空间信息科学学报（英文版）2025，Vol.28Issue(2)：中插22,761-779,20.

地球空间信息科学学报（英文版）2025，Vol.28Issue(2)：中插22,761-779,20.DOI:10.1080/10095020.2024.2313326

An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models

M.Naser Lessani ¹Zhenlong Li ¹Jiqiu Deng ²Zhiyong Guo²

作者信息

1. Geoinformation and Big Data Research Lab,Pennsylvania State University,State College,USA
2. School of Geosciences and Info-Physics,Central South University,Changsha,China
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摘要

关键词

Label placement/fixed position/geographical features/parallel genetic algorithm/message passing interface

Key words

Label placement/fixed position/geographical features/parallel genetic algorithm/message passing interface

引用本文复制引用

M.Naser Lessani,Zhenlong Li,Jiqiu Deng,Zhiyong Guo..An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models[J].地球空间信息科学学报（英文版）,2025,28(2):中插22,761-779,20.

基金项目

This research was in part supported by SC SeaGrant[grant number 135400-22-60319]and Taylor Geospatial Institute[grant number 00081816-01]. （）

地球空间信息科学学报（英文版）

ISSN：1009-5020

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