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

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Bibliographic Details
Title: An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands.
Authors: Yang, Xu, Zhang, Fuxing, Miao, Honglei
Source: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 24, p3926, 29p
Subject Terms: ARCHIPELAGOES, MULTI-objective optimization, OPTIMIZATION algorithms, CONSTRAINED optimization, ENERGY security
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. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
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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. [ABSTRACT FROM AUTHOR]
ISSN:22277390
DOI:10.3390/math12243926