A Review of Multi-Satellite Imaging Mission Planning Based on Surrogate Model Expensive Multi-Objective Evolutionary Algorithms: The Latest Developments and Future Trends

Multi-satellite imaging mission planning (MSIMP) is an important focus in the field of satellite application. MSIMP involves a variety of coupled constraints and optimization objectives, which often require extensive simulation and evaluation when solving, leading to high computational costs and slo...

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Vydáno v:	Aerospace Ročník 11; číslo 10; s. 793
Hlavní autoři:	Yang, Xueying, Hu, Min, Huang, Gang, Lin, Peng, Wang, Yijun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.10.2024
Témata:	adaptive strategy Algorithms Basic converters Classification Computational efficiency Constraints Efficiency Environmental monitoring Evolutionary algorithms expensive multi-objective evolutionary algorithm Flexibility Genetic algorithms Mathematical optimization Methods Mission planning multi-satellite imaging mission planning Multiple objective analysis Optimization Optimization algorithms Pareto optimum Quality assessment Satellite imagery Satellite imaging Satellites Scheduling (Management) surrogate model Trends China
ISSN:	2226-4310, 2226-4310
On-line přístup:	Získat plný text
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