A multi-objective discrete particle swarm optimization method for particle routing in distributed particle filters

Distributed particle filters (PFs) have received extensive attention because of its excellent performance. Generally, it needs to transmit particles to multiple processing units (PUs) in order to improve the performance. However, how to balance communication costs and computation costs in particle r...

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Veröffentlicht in:	Knowledge-based systems Jg. 240; S. 108068
Hauptverfasser:	Hou, Yun, Hao, Guosheng, Zhang, Yong, Gu, Feng, Xu, Wenyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.03.2022 Elsevier Science Ltd
Schlagworte:	Algorithms Computation Constraint Constraints Decision makers Decision making Function words Local search Multiple objective analysis Objectives Operators Optimization Optimization models Particle filters Particle routing Particle swarm optimization Performance enhancement Search methods 99-00 Local search 00-01 Constraint Particle filters Particle swarm optimization Particle routing
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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