Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions
With the growing complexity and interdependence of urban systems, multi-objective optimization (MOO) has become a critical tool for smart-city planning, sustainability, and real-time decision-making. This article presents a systematic literature review (SLR) of 117 peer-reviewed studies published be...
Saved in:
| Main Authors: | YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-07-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-3042.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Systematic Review of Dimensions and Indicators in Sustainable and Smart Cities: Trends, Interdependencies, and Continental Variations
by: Roger Alejandro Parra-Pulido, et al.
Published: (2024-11-01) -
Urban Stakeholders for Sustainable and Smart Cities: An Innovative Identification and Management Methodology
by: Rafael Esteban-Narro, et al.
Published: (2025-03-01) -
Assessment Smart Mobility of Citizen\'s View (Case Study:Shiraz City)
by: elahe kavoosi, et al.
Published: (2020-06-01) -
Building Smart Urban Areas: Case Study in Pleiku City, Vietnam
by: Tran Trong Phuong, et al.
Published: (2024-11-01) -
Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen
by: Oluwadamilola A. Oyadeyi, et al.
Published: (2025-06-01)