Details
- Project's acronym:
- ROUTING
- Financial Program Name:
- ERA-NET COFUND
- Organization:
- Narodowe Centrum Badań i Rozwoju (NCBR) (The National Centre for Research and Development)
- Agreement:
- MARTERA-1/ROUTING/3/2018 z dnia 2018-08-27
- Realisation period:
- 2018-09-01 - 2022-02-28
- Research team leader:
- dr hab. inż. Rafał Szłapczyński
- Team members:
-
- Coinvestigator dr inż. Aleksander Kniat
- Principal Investigator dr hab. inż. Rafał Szłapczyński
- Coinvestigator dr inż. Marcin Życzkowski
- Realised in:
- Faculty of Ocean Engineering and Ship Technology
- External institutions
participating in project: -
- NavSim Polska spółka z o.o. (Poland)
- Akademia Morska w Gdyni (Poland)
- Associação do Instituto Superior Técnico (Portugal)
- Project's value:
- 1 176 596.77 PLN
- Request type:
- International Research Programmes
- Domestic:
- International project
- Verified by:
- Gdańsk University of Technology
Papers associated with that project
Filters
total: 3
Catalog Projects
Year 2023
-
Ship weather routing featuring w-MOEA/D and uncertainty handling
PublicationThe paper presents a new version of evolutionary multi-objective weather routing (WR) for ships taking into account uncertainties of weather forecasts in route optimization. The method applies authors’ w-MOEA/D algorithm: MOEA/D framework incorporating Decision Maker’s (DM) preferences by means of w-dominance relation. Owing to this, DM preferences are taken into account throughout optimization, allowing the process to focus on...
Year 2021
-
W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization
PublicationThe paper presents a method of incorporating decision maker preferences into multi-objective meta-heuristics. It is based on tradeoffcoefficients and extends their applicability from bi-objective to multi-objective. The method assumes that a decision maker specifies a priori each objective’s importance as a weight interval. Based on this, w-dominance relation is introduced, which extends Pareto dominance. By replacing reference...
Year 2019
-
Preference-based evolutionary multi-objective optimization in ship weather routing
PublicationIn evolutionary multi-objective optimization (EMO) the aim is to find a set of Pareto-optimal solutions. Such approach may be applied to multiple real-life problems, including weather routing (WR) of ships. The route should be optimal in terms of passage time, fuel consumption and safety of crew and cargo while taking into account dynamically changing weather conditions. Additionally it must not violate any navigational constraints...
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