Multi-Objective Shark Smell Optimization Algorithm Using Incorporated Composite Angle Cosine for Automatic Train Operation

Multi-Objective Shark Smell Optimization Algorithm Using Incorporated Composite Angle Cosine for Automatic Train Operation

In this paper, an improved multi-objective shark smell optimization algorithm using composite angle cosine is proposed for automatic train operation (ATO). Specifically, when solving the problem that the automatic train operation velocity trajectory optimization easily falls into local optimum, the...

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Bibliographic Details
Main Authors: Longda Wang, Xingcheng Wang, Zhao Sheng, Senkui Lu
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
automatic train operation
multi-objective optimization
shark smell optimization algorithm
composite angle cosine
dual-population evolution mechanism
hardware-in-the-loop simulation
Online Access:https://www.mdpi.com/1996-1073/13/3/714

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https://www.mdpi.com/1996-1073/13/3/714

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