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Digital
Library of the European Council for Modelling
and Simulation |
Title: |
Evolutionary Winch Design Using An Online Winch by
Prototyping Tool |
Authors: |
Ibrahim A.
Hameed, Robin T. Bye, Birger Skogeng Pedersen, Ottar L. Osen |
Published in: |
(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and
Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
Citation
format: |
Ibrahim
A. Hameed, Robin T. Bye, Birger Skogeng Pedersen, Ottar L. Osen (2017). Evolutionary
Winch Design Using An Online Winch by Prototyping Tool, ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for
Modeling and Simulation. doi: 10.7148/2017-0292 |
DOI: |
https://doi.org/10.7148/2017-0292 |
Abstract: |
This
paper extends the work of a concurrent paper on an intelligent winch
prototyping tool (WPT) that is part of a generic and modular software
framework for intelligent computer-automated product design. Within this
framework, we have implemented a Matlab winch optimisation client (MWOC) that
connects to the WPT and employs four evolutionary optimisation algorithms to
optimise winch design. The four algorithms we employ are (i) a genetic
algorithm (GA), (ii) particle swarm optimisation (PSO), (iii) simulated
annealing (SA), and (iv) a multiobjective optimisation genetic algorithm
(MOOGA). Here, we explore the capabilities of MWOC in a case study where we
show that given a set of design guidelines and a suitable objective function
based on these guidelines, we are able to optimise a particular winch design
with respect to some desired design criteria. Our research has taken place in
close cooperation with two maritime industrial partners, Seaonics AS and ICD
Software AS, through two innovation and research projects on applying
artificial intelligence for intelligent computer-automated design of maritime
equipment such as offshore cranes and maritime winches. |
Full
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