NSGA-II-TLBO algorithm for optimizing campus environment art design scheme
Abstract The study proposes an improved algorithm based on non-dominated sorting genetic algorithm II (NSGA-II) and teaching learning-based optimization algorithm for optimizing campus layout configurations. By introducing teaching learning-based optimization algorithm and combining it with Levy fli...
Saved in:
| Main Authors: | Huicong Wang, Meng Zhang, Hongwei Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07509-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-objective layout optimization of hospital outpatient clinics based on NSGA II
by: Yanlin Zhao, et al.
Published: (2025-04-01) -
Empirical Study of Multi-Objective Risk Portfolio Optimization Based on NSGA-II
by: Qian Gao, et al.
Published: (2024-12-01) -
Multi-Objective Optimization Methods for University Campus Planning and Design—A Case Study of Dalian University of Technology
by: Lin Qi, et al.
Published: (2025-07-01) -
GIS spatial optimization for agricultural crop allocation using NSGA-II
by: Tipaluck Krityakierne, et al.
Published: (2025-06-01) -
Multi-Objective Optimization of Offshore Wind Farm Configuration for Energy Storage Based on NSGA-II
by: Xin Lin, et al.
Published: (2025-06-01)