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

Abstract 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 in...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Jinyan Shao, Yuan Lu, Yi Sun, Lei Zhao
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Subjects:	Multi-objective optimization problems Particle swarm optimization Multi-objective particle swarm optimization (MOIPSO) Rail transit upper cover foundation pit
Online Access:	https://doi.org/10.1038/s41598-025-87350-8