An Agent-Based E-engineering Services Framework for Engineering Design and Optimization

Hao, Qi; Shen, Weiming; Park, Seong-Whan; Lee, Jai-Kyung; Zhang, Zhan; Shin, Byung-Chun

doi:10.1007/978-3-540-24677-0_104

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…A notable difference between our work and several examples in the current literature on workflow in MDO is our use of an off-the-shelf framework, allowing for concentration on developing programs and wrappers, instead of developing the framework itself, as is the focus of Wang et al (2003), Hao et al (2004), Kim et al (2006) and Lähr & Bletzinger (2007). Working with an existing community of (bio-informatics) users clearly underpins claims for usability and even longevity, as well as the capacity for more rapid growth, given an attractive set of services and workflows, in new domains.…”

Section: Discussion and Related Workmentioning

confidence: 99%

Engineering design optimization using services and workflows

Crick

Dunning

Kim

et al. 2009

Phil. Trans. R. Soc. A.

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Multi-disciplinary design optimization (MDO) is the process whereby the often conflicting requirements of the different disciplines to the engineering design process attempts to converge upon a description that represents an acceptable compromise in the design space. We present a simple demonstrator of a flexible workflow framework for engineering design optimization using an e-Science tool. This paper provides a concise introduction to MDO, complemented by a summary of the related tools and techniques developed under the umbrella of the UK e-Science programme that we have explored in support of the engineering process. The main contributions of this paper are: (i) a description of the optimization workflow that has been developed in the TAVERNA workbench, (ii) a demonstrator of a structural optimization process with a range of tool options using common benchmark problems, (iii) some reflections on the experience of software engineering meeting mechanical engineering, and (iv) an indicative discussion on the feasibility of a 'plug-and-play' engineering environment for analysis and design.

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Section: Discussion and Related Workmentioning

confidence: 99%

Engineering design optimization using services and workflows

Crick

Dunning

Kim

et al. 2009

Phil. Trans. R. Soc. A.

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“…A case study used to validate the prototype environment is the design of a wheel-axle assembly (part of a bogie system). More information about this project as well as our long-term strategies of e-Engineering services paradigm can be found in [26].…”

Section: A Prototype For E-engineering Design and Optimizationmentioning

confidence: 99%

An autonomous agent development environment for engineering applications

Hao¹,

Shen²,

Zhang³

2005

Advanced Engineering Informatics

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“…The technique consists in partitioning the design space between different agents using different meta-models to approximate their subregion and coordinating to change the boundaries of their sub-regions. Hao et al [9] worked on a framework for engineering design and optimization based on agents. Distributed decision-making is among the main services of the developed application.…”

Section: Related Workmentioning

confidence: 99%

Multi-agent approach based on a design process for the optimization of mechatronic systems

Guizani

Hammadi

Choley

et al. 2017

Mechanics & Industry

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Mechatronic design optimization is a complex process characterized by an important number of requirements, design variables, constraints and objectives. Therefore, it is very important to decompose efficiently the system design problem into a set of partitions to minimize the computational cost while profiting from the spatial distribution of design tools, working teams and expertise. However, the optimization of the overall design requires incorporating the relevant partitions in order to find the optimum mechatronic design. Efficient strategies of partitioning and coordination should be specified at the conceptual level to have a successful optimization process. In this paper, a new approach based on multi-agent paradigm is proposed for mechatronic design optimization. The proposed approach is applied to the preliminary design case of an electric vehicle to demonstrate its validity and effectiveness.

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An Agent-Based E-engineering Services Framework for Engineering Design and Optimization

Cited by 7 publications

References 8 publications

Engineering design optimization using services and workflows

Engineering design optimization using services and workflows

An autonomous agent development environment for engineering applications

Multi-agent approach based on a design process for the optimization of mechatronic systems

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