Model Optimization and Parameter Estimation with Nimrod/O

Abramson, David; Peachey, Tom; Lewis, Andrew

doi:10.1007/11758501_96

Cited by 16 publications

(7 citation statements)

References 11 publications

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“…Before this, significant work was performed by automating the optimisation of the design process and greatly increasing computing power by getting access to the Cluster/Grid [38] using the Nimrod/O tool [39][40][41], as described in a previous study [42]. This enabled the designer to manipulate various combinations of the design variables and better understand different design scenarios that could be used in the initial design phase of the aerodynamic shape design problem.…”

Section: Methodsmentioning

confidence: 99%

The Interactive Design Approach for Aerodynamic Shape Design Optimisation of the Aegis UAV

2019

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In this work, an interactive optimisation framework—a combination of a low fidelity flow solver, Athena Vortex Lattice (AVL), and an interactive Multi-Objective Particle Swarm Optimisation (MOPSO)—is proposed for aerodynamic shape design optimisation of any aerial vehicle platform. This paper demonstrates the benefits of interactive optimisation—reduction of computational time with high optimality levels. Progress towards the most preferred solutions is made by having the Decision Maker (DM) periodically provide preference information once the MOPSO iterations are underway. By involving the DM within the optimisation process, the search is directed to the region of interest, which accelerates the process. The flexibility and efficiency of undertaking optimisation interactively have been demonstrated by comparing the interactive results with the non-interactive results of an optimum design case obtained using Multi-Objective Tabu Search (MOTS) for the Aegis UAV. The obtained results show the superiority of using an interactive approach for the aerodynamic shape design, compared to posteriori approaches. By carrying out the optimisation using interactive MOPSO it was shown to be possible to obtain similar results to non-interactive MOTS with only half the evaluations. Moreover, much of the usual complexity of post-data-analysis with posteriori approaches is avoided, since the DM is involved in the search process.

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Section: Methodsmentioning

confidence: 99%

The Interactive Design Approach for Aerodynamic Shape Design Optimisation of the Aegis UAV

2019

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“…The Aegis UAV design case reported in this paper was obtained by means of automated optimisation using the Nimrod/O tool [64][65][66] for the Aegis UAV with two tail configurations; U-tail and inverted V-tail. This enabled the designer to manipulate various combination of the design variables and better understand different design scenarios [43,44].…”

Section: Related Workmentioning

confidence: 99%

Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV

Azabi

Chai

Kipouros

2019

MAKE

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This article presents an optimisation framework that uses stochastic multi-objective optimisation, combined with an Artificial Neural Network (ANN), and describes its application to the aerodynamic design of aircraft shapes. The framework uses the Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm and the obtained results confirm that the proposed technique provides highly optimal solutions in less computational time than other approaches to the same design problem. The main idea was to focus computational effort on worthwhile design solutions rather than exploring and evaluating all possible solutions in the design space. It is shown that the number of valid solutions obtained using ANN-MOPSO compared to MOPSO for 3000 evaluations grew from 529 to 1006 (90% improvement) with a penalty of only 8.3% (11 min) in computational time. It is demonstrated that including an ANN, the ANN-MOPSO with 3000 evaluations produced a larger number of valid solutions than the MOPSO with 5500 evaluations, and in 33% less computational time (64 min). This is taken as confirmation of the potential power of ANNs when applied to this type of design problem.

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“…DAKOTA [82] is another solution that provides stochastic tools and an extensible interface for the integration of UQ methods to existing numerical codes. Nimrod/O [83] enables the execution of concurrent evaluations, while providing a range of search algorithms. In order to facilitate the execution of workflow ensembles, WMSs need to support parameter tuning so that researchers can run multiple optimizations with different starting points, controlling the parameter selection to minimize the prediction error.…”

Section: Workflow Ensemblesmentioning

confidence: 99%

A characterization of workflow management systems for extreme-scale applications

Silva

Filgueira

Pietri

et al. 2017

Future Generation Computer Systems

126

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Automation of the execution of computational tasks is at the heart of improving scientific productivity. Over the last years, scientific workflows have been established as an important abstraction that captures data processing and computation of large and complex scientific applications. By allowing scientists to model and express entire data processing steps and their dependencies, workflow management systems relieve scientists from the details of an application and manage its execution on a computational infrastructure. As the resource requirements of today's computational and data science applications that process vast amounts of data keep increasing, there is a compelling case for a new generation of advances in high-performance computing, commonly termed as extreme-scale computing, which will bring forth multiple challenges for the design of workflow applications and management systems. This paper presents a novel characterization of workflow management systems using features commonly associated with extreme-scale computing applications. We classify 15 popular workflow management systems in terms of workflow execution models, heterogeneous computing environments, and data access methods. The paper also surveys workflow applications and identifies gaps for future research on the road to extreme-scale workflows and management systems.

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Model Optimization and Parameter Estimation with Nimrod/O

Cited by 16 publications

References 11 publications

The Interactive Design Approach for Aerodynamic Shape Design Optimisation of the Aegis UAV

The Interactive Design Approach for Aerodynamic Shape Design Optimisation of the Aegis UAV

Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV

A characterization of workflow management systems for extreme-scale applications

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