A multi-objective optimization framework for regional land-use allocation: Fully utilizing terrestrial vegetation to mitigate carbon emissions DOI
Nannan Wang,

Zijian Yue,

Zhaomin Tong

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144058 - 144058

Published: Oct. 1, 2024

Language: Английский

Optimal Placement of Leakage Sensors in Urban Gas Networks Based on an Ant Colony Algorithm and System Clustering DOI Creative Commons

Zhewen Sui,

Xiaobing Yuan, Baoping Cai

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2605 - 2605

Published: Feb. 28, 2025

In urban gas network leakage monitoring, the optimized placement of sensors plays a pivotal role in ensuring public safety and minimizing system maintenance costs. This study introduces an innovative approach that integrates hierarchical clustering with ant colony optimization (ACO) to optimize sensor layouts networks. The technique is first employed evaluate strategic importance each monitoring node, which subsequently influences pheromone parameter ACO algorithm. Furthermore, proposed method accounts for soil types diffusion characteristics, affect concentration gradient, as well physical distances between nodes, determine heuristic factors By finely tuning these parameters, achieves significant reduction number required while comprehensive coverage, thereby improving economic operational efficiency. layout not only accelerates response leaks but also enhances system’s adaptability complex environments. Simulation field test results validate effectiveness this approach, demonstrating its practical value advancing management

Language: Английский

Citations

0
Modeling and Optimization of Cable Production Scheduling by Incorporating an Ant Colony Algorithm DOI Creative Commons

Changbiao Zhu,

Chongxin Wang,

Zhonghua Ni

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(8), P. 1235 - 1235

Published: April 9, 2025

With the development of small batch and multi-batch service production mode, manual scheduling by hand has been difficult to adapt a large number complex orders. This work proposed cable optimization method based on an ant colony algorithm, aiming at solving problems inefficiency underutilization resources in process traditional scheduling. Applying (ACO) algorithm solve problem achieved intelligent tasks. The utilizes search capabilities with characteristics line, achieving reasonable allocation After applying model scheme generated ACO algorithm-based objective order reduced total time required from 3 days 2.6882 days, resulting 10.04% increase efficiency. results show that can effectively improve efficiency resource utilization high practicality feasibility.

Language: Английский

Citations

0
Research on land use optimization based on PSO-GA model with the goals of increasing economic benefits and ecosystem services value DOI

Mengfei Song,

Weijun He,

Yiwen Wu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106072 - 106072

Published: Dec. 1, 2024

Language: Английский

Citations

3
A novelty modeling approach to eliminate spatial conflicts and ecological barriers in mining areas of a resource-based city DOI Creative Commons

Weibo Ma,

Haidong Li, Shaogang Lei

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112858 - 112858

Published: Nov. 22, 2024

Language: Английский

Citations

2
Distribution network insulator detection based on improved ant colony algorithm and deep learning for UAV DOI Creative Commons
Yimin Zhou, Dong Zhang,

Xingming Ma

et al.

iScience, Journal Year: 2024, Volume and Issue: 27(6), P. 110119 - 110119

Published: May 27, 2024

Under the background of accelerating speed urban and rural construction, geographical environment overhead transmission lines has also changed greatly. Using unmanned aerial vehicle (UAV) to realize intelligent line inspection can significantly shorten time improve efficiency. In this paper, power UAVs is studied from two levels: path planning UAV control, insulator identified through actual image recognition. At level, improved swarm intelligence algorithm used conduct simulation experiments on flight find a safe effective route. Insulator identification defect location are trained dataset collected by deep learning technology achieve accurate efficiency inspection, which great application prospects in engineering.

Language: Английский

Citations

1
The contribution of multi-objective land use optimization to reducing ecological risk: A case study of the Lanzhou-Xining urban agglomeration DOI Creative Commons

Shunjie Xin,

Zhongguo Li, Ning Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 168, P. 112604 - 112604

Published: Oct. 30, 2024

Language: Английский

Citations

1
A multi-objective optimization framework for regional land-use allocation: Fully utilizing terrestrial vegetation to mitigate carbon emissions DOI
Nannan Wang,

Zijian Yue,

Zhaomin Tong

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144058 - 144058

Published: Oct. 1, 2024

Language: Английский

Citations

0