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...

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Bibliographic Details
Main Authors: Kondratenko, Aleksandr, Kujala, Pentti
Other Authors: Department of Mechanical Engineering, Marine Technology, Aalto-yliopisto, Aalto University
Format: Other/Unknown Material
Language:English
Published: POAC 2021
Subjects:
Ship design
Offshore
Arctic
Multi-objective optimization
Artificial Bee Colony algorithm
Online Access:https://aaltodoc.aalto.fi/handle/123456789/111641
Description
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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