An Improved Many-Objective Evolutionary Algorithm for Multi-Satellite Joint Large Regional Coverage
Author:
Affiliation:
1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China
2. Chang Guang Satellite Technology Company Ltd., Changchun, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10121674.pdf?arnumber=10121674
Reference32 articles.
1. Two-Archive2 Algorithm for Large-Scale Polygon Targets Observation Scheduling Problem
2. Satellite scheduling of large areal tasks for rapid response to natural disaster using a multi-objective genetic algorithm
3. An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem
4. An improved Two Archive Algorithm for Many-Objective optimization
5. Diversity Assessment in Many-Objective Optimization
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1. Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method;Remote Sensing;2024-01-02
2. An Inclined Scalable Grid System and an Improved Heuristic Algorithm for Multisatellite Joint Regional Coverage;IEEE Geoscience and Remote Sensing Letters;2024
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