Scalable parallel evolutionary optimization on high performance computing

To improve the efficiency of evolutionary algorithms (EAs) for solving complex problems with large populations, this paper proposes a scalable parallel evolution optimization (SPEO) framework with an elastic asynchronous migration (EAM) mechanism. SPEO addresses two main challenges that arise in lar...

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Veröffentlicht in:	Aerospace Traffic and Safety Jg. 1; H. 2-4; S. 93 - 102
Hauptverfasser:	Jin, Chen, Zheng, Daren, He, Shuke, Cheng, Ao, Liu, Gang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024
Schlagworte:	Asynchronous migration Computational efficiency High performance computing (HPC) Parallel evolutionary algorithm High performance computing (HPC) Computational efficiency Parallel evolutionary algorithm Asynchronous migration
ISSN:	2950-3388, 2950-3388
Online-Zugang:	Volltext
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