A framework for multi-objective optimization of Arctic offshore support vessels
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...
Main Authors: | , |
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Other Authors: | , , , |
Format: | Other/Unknown Material |
Language: | English |
Published: |
POAC
2021
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Subjects: | |
Online Access: | https://aaltodoc.aalto.fi/handle/123456789/111641 |
Summary: | 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. Peer reviewed |
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