An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project

In this study, a multi-objective particle swarm optimization (MOIPSO) algorithm is proposed to address complex optimization problems, including real-world engineering challenges. The algorithm retains the basic convergence mechanism of particle swarm optimization (PSO) as its core, while innovativel...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 10403 - 25
Hauptverfasser:	Shao, Jinyan, Lu, Yuan, Sun, Yi, Zhao, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 26.03.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166 639/705 Algorithms Humanities and Social Sciences Multi-objective optimization problems Multi-objective particle swarm optimization (MOIPSO) multidisciplinary Objective function Optimization Pareto optimum Particle swarm optimization Rail transit upper cover foundation pit Science Science (multidisciplinary) Multi-objective optimization problems Multi-objective particle swarm optimization (MOIPSO) Particle swarm optimization Rail transit upper cover foundation pit
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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