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

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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.
Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on Port and Ocean Engineering under Arctic Conditions POAC 2021
Number of pages6
ISBN (Electronic)9781713841005
Publication statusPublished - 30 Jun 2021
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Port and Ocean Engineering under Arctic Conditions
- Online, Moscow, Russian Federation
Duration: 14 Jun 202118 Jun 2021
Conference number: 26

Publication series

NameProceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions
PublisherPOAC
ISSN (Print)0376-6756
ISSN (Electronic)2077-7841

Conference

ConferenceInternational Conference on Port and Ocean Engineering under Arctic Conditions
Abbreviated titlePOAC
Country/TerritoryRussian Federation
CityMoscow
Period14/06/202118/06/2021

Keywords

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

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