New One-Dimensional Search Iteration Algorithm and Engineering Application
In structural optimization design, obtaining the optimal solution of the objective function is the key to optimal design, and one-dimensional search is one of the important methods for function optimization. The Golden Section method is the main method of one-dimensional search, which has better con...
Saved in:
| Main Authors: | Yiping Luo, Jinhao Meng, Defa Wang, Guobin Xue |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/7643555 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
S-EPSO: A Socio-Emotional Particle Swarm Optimization Algorithm for Multimodal Search in Low-Dimensional Engineering Applications
by: Raynald Guilbault
Published: (2025-06-01) -
An Iterated Local Search Algorithm for Estimating the Parameters of the Gamma/Gompertz Distribution
by: Behrouz Afshar-Nadjafi
Published: (2014-01-01) -
Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search
by: Wanbin Wang, et al.
Published: (2025-02-01) -
An Improved Iterated Local Search Algorithm for the Static Partial Repositioning Problem in Bike-Sharing System
by: Qiong Tang, et al.
Published: (2020-01-01) -
Determinate arbitrary quantum state engineering through one-dimensional quantum walks
by: Yu Wang, et al.
Published: (2025-06-01)