A framework for multi-objective optimization of Arctic offshore support vessels

Aleksandr Kondratenko; Pentti Kujala

A framework for multi-objective optimization of Arctic offshore support vessels

Aleksandr Kondratenko, Pentti Kujala

Department of Energy and Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

71 Downloads (Pure)

Abstract

An Arctic vessel operates in a fragile Arctic environment that requires analyzing an eco-efficiency besides cost-efficiency in the conceptual design – phase that mainly determines a ship's performance. We present a software framework to optimize Arctic offshore support vessels for Cost- and Eco-efficiency using the Artificial Bee Colony algorithm. The framework scans the feasible design space to find a Pareto front, considering essential ship qualities in a specific operational context. The object-oriented structure of the program modules makes them independently reusable for a wide range of applications.

Original language	English
Title of host publication	Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021
Publisher	Luleå tekniska universitet
Number of pages	6
ISBN (Electronic)	9781713841005
Publication status	Published - 30 Jun 2021
MoE publication type	A4 Conference publication
Event	International Conference on Port and Ocean Engineering under Arctic Conditions - Online, Moscow, Russian Federation Duration: 14 Jun 2021 → 18 Jun 2021 Conference number: 26

Publication series

Name	Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions
Publisher	POAC
ISSN (Print)	0376-6756
ISSN (Electronic)	2077-7841

Conference

Conference	International Conference on Port and Ocean Engineering under Arctic Conditions
Abbreviated title	POAC
Country/Territory	Russian Federation
City	Moscow
Period	14/06/2021 → 18/06/2021

Keywords

Ship design
Offshore
Arctic
Multi-objective optimization
Artificial Bee Colony algorithm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

POAC21-089Final published version, 501 KBLicence: Unspecified

https://www.poac.com/Papers/2021/pdf/POAC21-089.pdfLicence: Unspecified

1 Article

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
Kondratenko, A., Bergström, M., Reutskii, A. & Kujala, P., 16 May 2021, In: Sustainability . 13, 10, 22 p., 5550.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
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9 Citations (Scopus)

164 Downloads (Pure)

Cite this

Kondratenko, A., & Kujala, P. (2021). A framework for multi-objective optimization of Arctic offshore support vessels. In Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021 (Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions). Luleå tekniska universitet. https://www.poac.com/Papers/2021/pdf/POAC21-089.pdf

Kondratenko, Aleksandr ; Kujala, Pentti. / A framework for multi-objective optimization of Arctic offshore support vessels. Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021. Luleå tekniska universitet, 2021. (Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions).

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abstract = "An Arctic vessel operates in a fragile Arctic environment that requires analyzing an eco-efficiency besides cost-efficiency in the conceptual design – phase that mainly determines a ship's performance. We present a software framework to optimize Arctic offshore support vessels for Cost- and Eco-efficiency using the Artificial Bee Colony algorithm. The framework scans the feasible design space to find a Pareto front, considering essential ship qualities in a specific operational context. The object-oriented structure of the program modules makes them independently reusable for a wide range of applications.",

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Kondratenko, A & Kujala, P 2021, A framework for multi-objective optimization of Arctic offshore support vessels. in Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021. Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, Luleå tekniska universitet, International Conference on Port and Ocean Engineering under Arctic Conditions
, Moscow, Russian Federation, 14/06/2021. <https://www.poac.com/Papers/2021/pdf/POAC21-089.pdf>

A framework for multi-objective optimization of Arctic offshore support vessels. / Kondratenko, Aleksandr; Kujala, Pentti.
Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021. Luleå tekniska universitet, 2021. (Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A framework for multi-objective optimization of Arctic offshore support vessels

AU - Kondratenko, Aleksandr

AU - Kujala, Pentti

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PY - 2021/6/30

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N2 - An Arctic vessel operates in a fragile Arctic environment that requires analyzing an eco-efficiency besides cost-efficiency in the conceptual design – phase that mainly determines a ship's performance. We present a software framework to optimize Arctic offshore support vessels for Cost- and Eco-efficiency using the Artificial Bee Colony algorithm. The framework scans the feasible design space to find a Pareto front, considering essential ship qualities in a specific operational context. The object-oriented structure of the program modules makes them independently reusable for a wide range of applications.

AB - An Arctic vessel operates in a fragile Arctic environment that requires analyzing an eco-efficiency besides cost-efficiency in the conceptual design – phase that mainly determines a ship's performance. We present a software framework to optimize Arctic offshore support vessels for Cost- and Eco-efficiency using the Artificial Bee Colony algorithm. The framework scans the feasible design space to find a Pareto front, considering essential ship qualities in a specific operational context. The object-oriented structure of the program modules makes them independently reusable for a wide range of applications.

KW - Ship design

KW - Offshore

KW - Arctic

KW - Multi-objective optimization

KW - Artificial Bee Colony algorithm

M3 - Conference article in proceedings

T3 - Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions

BT - Proceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021

PB - Luleå tekniska universitet

T2 - International Conference on Port and Ocean Engineering under Arctic Conditions<br/>

Y2 - 14 June 2021 through 18 June 2021

ER -

A framework for multi-objective optimization of Arctic offshore support vessels

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Research output

A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

Cite this