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Research on Multi-interval Coupling Optimization of Ship Main Dimensions for minimum EEDI

Research on Multi-interval Coupling Optimization of Ship Main Dimensions for minimum EEDI
Research on Multi-interval Coupling Optimization of Ship Main Dimensions for minimum EEDI
In order to improve energy-saving effect of the YUKUN ship, minimize the value of the Energy Efficiency Design Index (EEDI), while considering the impact of uncertain factors. In this research, interval analysis method is used in uncertain optimization, and main dimensions of interval optimization research for EEDI are carried out. First, multiisland genetic algorithm (MIGA), particle swarm optimization (PSO) and adaptive simulated annealing algorithm (ASA) optimization methods are used for deterministic optimization, to analyze the influence of different optimization algorithms on the optimization results and to obtain the best deterministic optimization scheme. Second, considering uncertain factors—flow velocity, ship's wet surface area and total resistance coefficient—the interval analysis method is used to determine the main dimensions of the optimization problem and to analyze the influence of single interval and multi-interval coupling on the EEDI. Analysis shows that an increased number of uncertain factors will increase EEDI while decrease the energy saving effect, as will the coupling effect between uncertain factors. Final value of EEDI obtained by multiinterval coupling optimization, however, can be more realistic and guarantees the reliability of the scheme of the ship’s main dimensions, and also be feasible as is still below the required baseline.
EEDI; Deterministic optimization; Uncertainty; Interval analysis method; Coupling effect
0029-8018
1-9
Wang, Huande
8388c5bc-4b05-4219-b8fd-81f3f59b3479
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Liang, Xiao
dc6bb23f-358c-4ce4-95ac-12b52b6cc0de
Wang, Huande
8388c5bc-4b05-4219-b8fd-81f3f59b3479
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Liang, Xiao
dc6bb23f-358c-4ce4-95ac-12b52b6cc0de

Wang, Huande, Hou, Yuanhang, Xiong, Yeping and Liang, Xiao (2021) Research on Multi-interval Coupling Optimization of Ship Main Dimensions for minimum EEDI. Ocean Engineering, 237, 1-9, [109588].

Record type: Article

Abstract

In order to improve energy-saving effect of the YUKUN ship, minimize the value of the Energy Efficiency Design Index (EEDI), while considering the impact of uncertain factors. In this research, interval analysis method is used in uncertain optimization, and main dimensions of interval optimization research for EEDI are carried out. First, multiisland genetic algorithm (MIGA), particle swarm optimization (PSO) and adaptive simulated annealing algorithm (ASA) optimization methods are used for deterministic optimization, to analyze the influence of different optimization algorithms on the optimization results and to obtain the best deterministic optimization scheme. Second, considering uncertain factors—flow velocity, ship's wet surface area and total resistance coefficient—the interval analysis method is used to determine the main dimensions of the optimization problem and to analyze the influence of single interval and multi-interval coupling on the EEDI. Analysis shows that an increased number of uncertain factors will increase EEDI while decrease the energy saving effect, as will the coupling effect between uncertain factors. Final value of EEDI obtained by multiinterval coupling optimization, however, can be more realistic and guarantees the reliability of the scheme of the ship’s main dimensions, and also be feasible as is still below the required baseline.

Text
OE accepted paper_Hou&Xiong082021 - Accepted Manuscript
Restricted to Repository staff only until 7 August 2022.
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More information

Accepted/In Press date: 31 July 2021
e-pub ahead of print date: 7 August 2021
Keywords: EEDI; Deterministic optimization; Uncertainty; Interval analysis method; Coupling effect

Identifiers

Local EPrints ID: 451106
URI: http://eprints.soton.ac.uk/id/eprint/451106
ISSN: 0029-8018
PURE UUID: 44c28fab-25c0-4ac3-b1ce-c93c2d0b87ab
ORCID for Yeping Xiong: ORCID iD orcid.org/0000-0002-0135-8464

Catalogue record

Date deposited: 07 Sep 2021 16:36
Last modified: 08 Sep 2021 01:38

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Contributors

Author: Huande Wang
Author: Yuanhang Hou
Author: Yeping Xiong ORCID iD
Author: Xiao Liang

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