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

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Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
Date
2021-06-30
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
Series
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
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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Keywords
Ship design, Offshore, Arctic, Multi-objective optimization, Artificial Bee Colony algorithm
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Citation
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 >