15th EUROPT Workshop on Advances in Continuous Optimization, Montreal, Canada, 12-14 July 2017

Sessions on “Uncertainty based Optimization in Engineering”

Scope and Motivations

In an expanding world with limited resources and increasing uncertainty, optimization and uncertainty quantification become a necessity. Optimization can turn a problem into a solution, thus the main focus of this session is to promote the knowledge exchange on new approaches to treat uncertainty in complex engineering systems and use novel optimization techniques to efficiently deal with large scale problems with many objectives and uncertain quantities. It is generally recognised, in fact, that neglecting the impact of uncertainty on the design of any system or process can lead to unreliable design solutions.

Common approaches that make use of safety margins to account for uncertainty in design and manufacturing are not adequate to fully capture the growing complexity of engineering systems and provide reliable, resilient and optimal solutions.



The sessions are open to everybody who wants to present recent and original results on any of the following topics:

  • Robust Optimization
  • Reliability based Design Optimization
  • Resilience based Design Optimization
  • Evolvable Optimization Under Uncertainty
  • Uncertainty based Multidisciplinary Design Optimization

 with applications to any engineering areas, in particular:

  • Aeronautics, Aerospace, and Space
  • Agriculture and Precision Farming
  • Automotive
  • Bio-Engineering
  • Civil and Structural Engineering
  • Electronics
  • Energy, including Renewable Energy
  • Offshores, Coastal and Marine Engineering and Operations
  • Transport and Logistics
  • Turbomachinery


Sessions Organisers

Edmondo Minisci
Lecturer, Multidisciplinary Design Optimization

Annalisa Riccardi
Lecturer, Computational Intelligence

Massimiliano Vasile
Professor, Space System Engineering

Task Force "Computational Intelligence in Aerospace Sciences", Department of Mechanical & Aerospace Engineering, University of Strathclyde, Glasgow, UK

Funded by