Multi-strategy enterprise development optimizer for numerical optimization and constrained problems
Abstract Enterprise Development Optimizer (EDO) is a meta-heuristic algorithm inspired by the enterprise development process with strong global search capability. However, the analysis of the EDO algorithm shows that it suffers from the defects of rapidly decreasing population diversity and weak exp...
Saved in:
| Main Authors: | Xinyu Cai, Weibin Wang, Yijiang Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93754-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems
by: Wenkai Tang, et al.
Published: (2025-03-01) -
A new human-based offensive defensive optimization algorithm for solving optimization problems
by: Ning Fang, et al.
Published: (2025-04-01) -
An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem
by: Muhammad Suhail Shaikh, et al.
Published: (2025-05-01) -
An Enhanced Snow Geese Optimizer Integrating Multiple Strategies for Numerical Optimization
by: Baoqi Zhao, et al.
Published: (2025-06-01) -
An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation
by: Liang Xiang, et al.
Published: (2025-05-01)