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

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

Multiple Geographical Feature Label Placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. Moreover, the nature of label positioning has proven to be an Nondeterministic polynomial-time hard (NP-hard) problem. Although advances in computer technology an...

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Bibliographic Details
Main Authors: M. Naser Lessani, Zhenlong Li, Jiqiu Deng, Zhiyong Guo
Format: Article
Language:English
Published: Taylor & Francis Group 2025-03-01
Series:Geo-spatial Information Science
Subjects:
Label placement
fixed position
geographical features
parallel genetic algorithm
message passing interface
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2313326
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https://www.tandfonline.com/doi/10.1080/10095020.2024.2313326

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