An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands

Clustering islands located close to each other and sharing some common characteristics offer diverse and unique opportunities for tourism, trade, and research, and especially take a crucial part in the military. Remote from inland, islands have relatively limited resources, which makes them dependent on imported energy sources such as oil and gas or renewable energy. However, there are few studies about the energy security of clustering islands. To this end, this study proposes a novel energy optimization framework that aims to optimize the use of their different types of energy among clustering islands and improve the stability of the whole energy internet via a multilayer transportation network. The transportation network also enables islands to serve as emergency power sources for each other in some emergency situations. Specifically, we construct an assignment model that considers multimodal transport, multiobjective, and multiple constraints. To address this issue, we develop an unconstrained-individuals guiding constrained multiobjective optimization algorithm, named uiCMOA. Experimental results demonstrate the effectiveness of the transportation network and the efficiency of the proposed algorithm.

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Publication Details

Journal
Mathematics
Published
2024-12-13
DOI
https://doi.org/10.3390/math12243926
Citations
1
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.21
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article

An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands

Fuxing Zhang, Xu Yang, Honglei Miao
1 citations
Mathematics
Maritime Transport Emissions and Efficiency
0.21
article

An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands

Fuxing Zhang, Xu Yang, Honglei Miao
article en
1 citations

Abstract

Clustering islands located close to each other and sharing some common characteristics offer diverse and unique opportunities for tourism, trade, and research, and especially take a crucial part in the military. Remote from inland, islands have relatively limited resources, which makes them dependent on imported energy sources such as oil and gas or renewable energy. However, there are few studies about the energy security of clustering islands. To this end, this study proposes a novel energy optimization framework that aims to optimize the use of their different types of energy among clustering islands and improve the stability of the whole energy internet via a multilayer transportation network. The transportation network also enables islands to serve as emergency power sources for each other in some emergency situations. Specifically, we construct an assignment model that considers multimodal transport, multiobjective, and multiple constraints. To address this issue, we develop an unconstrained-individuals guiding constrained multiobjective optimization algorithm, named uiCMOA. Experimental results demonstrate the effectiveness of the transportation network and the efficiency of the proposed algorithm.

MathematicsVol. 12(24)
National University of Defense Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 48%
Maritime Transport Emissions and Efficiency
0.21
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An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands — Fuxing Zhang, Xu Yang, et al. · Mathematics (2024) | TGRS Research Map | TGRS