A Linear Regression Prediction-Based Dynamic Multi-Objective Evolutionary Algorithm with Correlations of Pareto Front Points
The Dynamic Multi-objective Optimization Problem (DMOP) is one of the common problem types in academia and industry. The Dynamic Multi-Objective Evolutionary Algorithm (DMOEA) is an effective way for solving DMOPs. Despite the existence of many research works proposing a variety of DMOEAs, the deman...
Saved in:
| Main Authors: | Junxia Ma, Yongxuan Sang, Yaoli Xu, Bo Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/6/372 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Pareto Front Transformation Model for Multi- Objective-Based Constrained Optimization
by: Sanyou Zeng, et al.
Published: (2025-01-01) -
The NFDA-Nonsmooth Feasible Directions Algorithm applied to construction of Pareto Fronts of Ridge and Lasso Regressions
by: W. P. Freire
Published: (2024-11-01) -
MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA
by: Eni Meylisah, et al.
Published: (2023-09-01) -
Linear and logistic regression: A medical perspective
by: S. Gothai Nachiyar, et al.
Published: (2025-07-01) -
Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City
by: Muhammad Iqbal, et al.
Published: (2025-07-01)