loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Luis Diogo Couto 1 ; Peter W. V. Tran-Jørgensen 1 and Gareth T. C. Edwards 2

Affiliations: 1 Aarhus University, Denmark ; 2 Agro Inteligence ApS, Denmark

ISBN: 978-989-758-199-1

Keyword(s): Harvesting Operations, Optimisation, Strategy Pattern, Design Patterns, VDM, Formal Methods, Model Architecture.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Case Studies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Discrete-Event Simulation ; e-Business ; Enterprise Information Systems ; Formal Methods ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Logistics ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Optimization Issues ; Simulation and Modeling ; Simulation Tools and Platforms ; Symbolic Systems

Abstract: Modelling and simulation assist in decision support or planning activities by allowing efficient exploration of multiple scenarios in a situation where testing in a real setting is impractical. This exploration is often done by varying numerical parameters in the model such as physical dimensions or speed in order to find the optimal configuration. However, for certain problems, in order to find optimal solutions it is beneficial to vary the algorithms that are used to implement the behaviour of the model. For example, when calculating optimised routes for harvesters and other vehicles in a harvest operation, the choice of optimisation algorithms is an important part of the problem. Traditional modelling and simulation techniques do not allow us to vary algorithms across simulations effectively. In this paper, we address this issue by applying the strategy pattern from software engineering to the construction of a formal model that enables different combinations of harvest optimisatio n algorithms to be analysed effectively. This approach can be generalised to other planning activities where multiple algorithms need to be considered. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.76.193

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Couto, L.; Tran-Jørgensen, P.; Tran-Jørgensen, P. and Edwards, G. (2016). Combining Harvesting Operation Optimisations using Strategy-based Simulation.In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-199-1, pages 25-32. DOI: 10.5220/0005932900250032

@conference{simultech16,
author={Luis Diogo Couto. and Peter W. V. Tran{-}Jørgensen. and Peter W. V. Tran{-}Jørgensen. and Gareth T. C. Edwards.},
title={Combining Harvesting Operation Optimisations using Strategy-based Simulation},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2016},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005932900250032},
isbn={978-989-758-199-1},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Combining Harvesting Operation Optimisations using Strategy-based Simulation
SN - 978-989-758-199-1
AU - Couto, L.
AU - Tran-Jørgensen, P.
AU - Tran-Jørgensen, P.
AU - Edwards, G.
PY - 2016
SP - 25
EP - 32
DO - 10.5220/0005932900250032

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.