CUED Publications database

Multi-objective optimisation in scientific workflow

Nguyen, HA and Van Iperen, Z and Raghunath, S and Abramson, D and Kipouros, T and Somasekharan, S (2017) Multi-objective optimisation in scientific workflow. In: UNSPECIFIED pp. 1443-1452..

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Abstract

© 2017 The Authors. Published by Elsevier B.V. Engineering design is typically a complex process that involves finding a set of designs satisfying various performance criteria. As a result, optimisation algorithms dealing with only single-objective are not sufficient to deal with many real-life problems. Meanwhile, scientific workflows have been shown to be an effective technology for automating and encapsulating scientific processes. While optimisation algorithms have been integrated into workflow tools, they are generally single-objective. This paper first presents our latest development to incorporate multi-objective optimisation algorithms into scientific workflows. We demonstrate the efficacy of these capabilities with the formulation of a three-objective aerodynamics optimisation problem. We target to improve the aerodynamic characteristics of a typical 2D airfoil profile considering also the laminar-turbulent transition location for more accurate estimation of the total drag. We deploy two different heuristic optimisation algorithms and compare the preliminary results.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div C > Engineering Design
Depositing User: Cron Job
Date Deposited: 25 Aug 2017 20:15
Last Modified: 05 Sep 2017 01:50
DOI: