[DMANET] Special Issue on "Optimisation in Space Engineering" (OSE2019) - Deadline for submission extended to 31st July 2020

Dear Colleague,

please note that, given the exceptional Covid-19 situation and the associated social and working difficulties, the deadline to submit contributions to the Special Issue of Optimization and Engineering on "Optimisation in Space Engineering" (OSE 2019) (http://icelab.uk/ose5/ose5-special-issue/<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Ficelab.uk%2Fose5%2Fose5-special-issue%2F&data=02%7C01%7Cannalisa.riccardi%40strath.ac.uk%7C789448fa3bea4f1b6a0a08d800b97c2f%7C631e0763153347eba5cd0457bee5944e%7C0%7C0%7C637260143954053554&sdata=Kt0PPm5T1bKlIXE7sKbukEw3CNE7oCp8Pe8UKEhvRRg%3D&reserved=0> ) has been extended to *** 31st July 2020 ***

This Special Issue intends to collect many, diverse efforts made in the development and application of optimisation techniques to solve space problems. The issue seeks to collect the latest engineering problems and proposed solutions. In particular optimisation methods specifically devised, adapted or tailored to address problems in space applications or optimisation techniques that were demonstrated to be particularly effective at solving space and access to space-related problems are welcome.

You are kindly invited to submit your original contribution on one or more of the following topics with applications to the analysis and design of space missions and systems (submission will NOT be restricted to works presented to the OSE workshop). Contributions presenting the application of optimisation techniques and methods already used in other fields to solve space engineering problems would be especially welcome.

• Global optimisation
• Local optimisation
• Polynomial optimisation
• Linear and non-linear optimisation
• Discrete optimisation
• Mixed integer nonlinear optimisation
• Non-parametric optimisation
• Derivative-free optimisation
• Stochastic optimisation
• Multi/Mani-objective optimisation
• Multi-level optimisation
• Optimisation under uncertainty
• Optimal control
• Model predictive control
• Autonomous control
• Intelligent control
• Multidisciplinary design optimisation
• Routing, scheduling and planning
• Optimisation and parallel computing
• Optimisation and cloud computing
• Concurrent and collaborative optimisation
• Optimisation for expensive models
• Optimisation for large scale problems
• Surrogate-based optimisation
• Data-driven optimisation
• Machine learning

More info and instructions for submissions are available at http://icelab.uk/ose5/ose5-special-issue/<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Ficelab.uk%2Fose5%2Fose5-special-issue%2F&data=02%7C01%7Cannalisa.riccardi%40strath.ac.uk%7C789448fa3bea4f1b6a0a08d800b97c2f%7C631e0763153347eba5cd0457bee5944e%7C0%7C0%7C637260143954053554&sdata=Kt0PPm5T1bKlIXE7sKbukEw3CNE7oCp8Pe8UKEhvRRg%3D&reserved=0>

We look forward to receiving your contribution!

Edmondo Minisci, Annalisa Riccardi, Massimiliano Vasile
(GUEST EDITORS)

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