Multi-Objective Optimization of VBHF in Deep Drawing Based on the Improved QO-Jaya Algorithm

IF 4.2 2区工程技术 Q1 Engineering

Chinese Journal of Mechanical Engineering Pub Date : 2024-01-05 DOI:10.1186/s10033-023-00985-4

Xiangyu Jiang, Zhaoxi Hong, Yixiong Feng, Jianrong Tan

引用次数: 0

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基于改进 QO-Jaya 算法的深图中 VBHF 的多目标优化

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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来源期刊

Chinese Journal of Mechanical Engineering ENGINEERING, MECHANICAL-

CiteScore

5.60

自引率

4.80%

发文量

3097

审稿时长

8 months

期刊介绍： Chinese Journal of Mechanical Engineering (CJME) was launched in 1988. It is a peer-reviewed journal under the govern of China Association for Science and Technology (CAST) and sponsored by Chinese Mechanical Engineering Society (CMES). The publishing scopes of CJME follow with: Mechanism and Robotics, including but not limited to -- Innovative Mechanism Design -- Mechanical Transmission -- Robot Structure Design and Control -- Applications for Robotics (e.g., Industrial Robot, Medical Robot, Service Robot…) -- Tri-Co Robotics Intelligent Manufacturing Technology, including but not limited to -- Innovative Industrial Design -- Intelligent Machining Process -- Artificial Intelligence -- Micro- and Nano-manufacturing -- Material Increasing Manufacturing -- Intelligent Monitoring Technology -- Machine Fault Diagnostics and Prognostics Advanced Transportation Equipment, including but not limited to -- New Energy Vehicle Technology -- Unmanned Vehicle -- Advanced Rail Transportation -- Intelligent Transport System Ocean Engineering Equipment, including but not limited to --Equipment for Deep-sea Exploration -- Autonomous Underwater Vehicle Smart Material, including but not limited to --Special Metal Functional Materials --Advanced Composite Materials --Material Forming Technology.