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Authors: Carlo Comin ; Luka Onesti and Carlos Kavka

Affiliation: ESTECO SPA, Italy

ISBN: 978-989-8565-68-6

Keyword(s): Optimization, BPMN 2.0, Scientific Workflows, Simulation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; Cross-Feeding between Data and Software Engineering ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Model-Driven Engineering ; Software Engineering ; Software Engineering Methods and Techniques ; Symbolic Systems

Abstract: Optimization plays a fundamental role in engineering design and in many other fields in applied science. An optimization process allows obtaining the best designs which maximize and/or minimize a number of objectives, satisfying at the same time certain constraints. Nowadays, design activities require a large use of computational models to simulate experiments, which are usually automated through the execution of the so-called scientific workflows. Even if there is a general agreement in both academy and industry on the use of scientific workflows for the representation of optimization processes, no single standard has arisen as a valid model to fully characterize it. A standard will facilitate collaboration between scientists and industrial designers, interaction between different fields and a common vocabulary in scientific and engineering publications. This paper proposes the use of BPMN 2.0, a well-defined standard from the area of business processes, as a formal representation fo r both the abstract and execution models for scientific workflows in the context of process optimization. Aspects like semantic expressiveness, representation efficiency and extensibility, as required by optimization in industrial applications, have been carefully considered in this research. Practical results of the implementation of an industrial-quality optimization workflow engine defined in terms of the BPMN 2.0 standard are also presented in the paper. (More)

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Paper citation in several formats:
Comin, C.; Onesti, L. and Kavka, C. (2013). Towards a Standard Approach for Optimization in Science and Engineering.In Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013) ISBN 978-989-8565-68-6, pages 169-177. DOI: 10.5220/0004490501690177

@conference{icsoft-ea13,
author={Carlo Comin. and Luka Onesti. and Carlos Kavka.},
title={Towards a Standard Approach for Optimization in Science and Engineering},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)},
year={2013},
pages={169-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004490501690177},
isbn={978-989-8565-68-6},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)
TI - Towards a Standard Approach for Optimization in Science and Engineering
SN - 978-989-8565-68-6
AU - Comin, C.
AU - Onesti, L.
AU - Kavka, C.
PY - 2013
SP - 169
EP - 177
DO - 10.5220/0004490501690177

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