Skip to main content
Caicheng Zhu on Muck Rack

Caicheng Zhu

As seen in: MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Caicheng

Contact Caicheng, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Hybrid Optimization Method Based on Coupling Local Gradient Information and Global Evolution Mechanism

|
By Caicheng Zhu, Xin Zhao, Xinlei He, Zhili Tang
| MDPI
1. Introduction Aircraft shape optimization is one of the key issues in aerodynamic layout design. The traditional aerodynamic optimization method that relies on experience and focuses on trial-and-error methods has high computational costs, long design cycles, and cannot guarantee the optimal aerodynamic shape [1].
Open in Who Shared Issue with article?

Mathematics | Free Full-Text | An Efficient Hybrid Multi-Objective Optimization Method Coupling Global Evolutionary and Local Gradient Searches for Solving Aerodynamic Optimization Problems

|
By Fan Cao, Zhili Tang, Xin Zhao, Caicheng Zhu
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by 1, 1,*, 1 and 2 1 College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China 2 Beijing Aerospace Technology Institute, Beijing 100074, China * Author to whom correspondence should be addressed.
Open in Who Shared Issue with article?
See all 2 articles