Spatial Layout Optimization in Urban Renewal Based on Improved NSGAII Algorithm
A multi-objective optimization method based on the improved non-dominated sorting genetic algorithm II was proposed to address the problem of spatial layout optimization in urban renewal. The study first constructed an urban spatial layout model with net zero carbon as the core concept, setting thre...
Saved in:
| Main Authors: | Xuan Han, Baishu Xia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/1/94 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm
by: Man Zhang, et al.
Published: (2025-09-01) -
NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM
by: YAN ShengLi, et al.
Published: (2022-01-01) -
Numerical Design Structure Matrix–Genetic Algorithm-Based Optimization Method for Design Process of Complex Civil Aircraft Systems
by: Qiucen Fan, et al.
Published: (2024-12-01) -
A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance
by: Noushin Saba, et al.
Published: (2024-01-01) -
GIS spatial optimization for agricultural crop allocation using NSGA-II
by: Tipaluck Krityakierne, et al.
Published: (2025-06-01)