基于有效代用模型的悬挂式单轨车辆动态性能多目标优化技术

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-01-04 DOI:10.1080/0305215x.2023.2290517

Yun Yang, Qinglie He, Chengbiao Cai, Ruoyu Li, Shengyang Zhu

引用次数: 0

摘要

本研究基于有效的代用模型，对在弯曲桥梁上行驶的悬挂式单轨车辆（SMV）的动态性能进行了多目标优化（MOO）。首先，对悬挂式单轨车辆的动态性能进行优化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-objective optimization of the dynamic performance of a suspended monorail vehicle based on an effective surrogate model

This work presents the multi-objective optimization (MOO) of the dynamic performance of a suspended monorail vehicle (SMV) moving on a curved bridge, based on an effective surrogate model. First, t...

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来源期刊

Engineering Optimization 管理科学-工程：综合

CiteScore

5.90

自引率

7.40%

发文量

审稿时长

3.5 months

期刊介绍： Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.