Luo, Hao and Zhang, Demin and Jiao, Liping (2024) Enhancing Marine Comprehensive Carrying Capacity and Energy Assessment and Prediction Using an Improved Ant Colony Algorithm and System Dynamics Model. EAI Endorsed Transactions on Energy Web.
![[thumbnail of 70713.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "70713.pdf")
PDF
70713.pdf
Download (533kB)
Abstract
The primary aim of this paper is to introduce a novel approach to simulating and predicting Marine Comprehensive Carrying Capacity (MCCC), which seeks to enhance the efficacy and accuracy of MCCC assessment and prediction. MCCC is crucial for effective marine resource management and sustainable ener
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:13 |
| Last Modified: | 11 Apr 2026 00:21 |
| URI: | http://eprints.eai.eu/id/eprint/51630 |
Actions (login required)
- View Item