Enhanced Polar Lights Optimization with Cryptobiosis and Differential Evolution for Global Optimization and Feature Selection
Optimization algorithms play a crucial role in solving complex problems across various fields, including global optimization and feature selection (FS). This paper presents the enhanced polar lights optimization with cryptobiosis and differential evolution (CPLODE), a novel improvement upon the orig...
Saved in:
Main Authors: | Yang Gao, Liang Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/10/1/53 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design Optimization of Stewart-Gough Platform based on Differential Evolution Algorithm
by: Wang Ting, et al.
Published: (2018-01-01) -
Crisscross Moss Growth Optimization: An Enhanced Bio-Inspired Algorithm for Global Production and Optimization
by: Tong Yue, et al.
Published: (2025-01-01) -
Aerodynamic optimization of small diffuser Augmented Wind Turbines: A differential evolution approach
by: Turan Dias Oliveira, et al.
Published: (2025-04-01) -
A new model for lung cancer prediction based on differential evolution algorithm and effective feature selection
by: Amid Khatibi Bardsiri
Published: (2025-01-01) -
Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization
by: Jomana Yousef Khaseeb, et al.
Published: (2025-01-01)