Special Session on
Evolutionary Computation in Aerospace Science and Engineering

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Scope and Motivations

In Space and Aerospace Science and Engineering, many applications require the solution of global single and/or multi-objective optimisation problems, including mixed variables, multi-modal and non-differentiable quantities, and involving highly expensive objective function evaluations. From global trajectory optimisation to multidisciplinary aircraft and spacecraft design, from planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites, computational intelligence techniques have become an important – and in many cases inevitable – tool for tackling these kinds of problems, providing useful and non-intuitive solutions. Not only have Aerospace Sciences paved the way for the ubiquitous application of computational intelligence, but moreover, they have also led to the development of new approaches and methods. In the last two decades, evolutionary computing, fuzzy logic, bio-inspired computing, artificial neural networks, swarm intelligence and other computational intelligence techniques have been used to find optimal trajectories, design optimal constellations or formations, evolve hardware, design robust and optimal aerospace systems (e.g. reusable launch vehicles, re-entry vehicles, time-efficient fuel burn, etc.), evolve scheduled plans for unmanned aerial vehicles, optimise the aerodynamic design (e.g. airfoil and vehicle shape), engine turbomachinery (e.g. tip clearance) and whole engine design, optimise structures, and the control of aerospace vehicles, regulate air traffic, do the prognostics and diagnostics of aircraft and vehicles, etc. This special session intends to collect many, diverse efforts made in the application of evolutionary computation techniques, or related methods, to aerospace problems. The session seeks to bring together researchers from around the globe for a stimulating discussion on recent advances in evolutionary methods for the solution of space and aerospace problems.

Session Topics

Authors are invited to submit papers on one or more of the following topics:

  • Multi-objective optimisation for space and aerospace applications
  • Surrogate based approaches for design optimisation and analysis
  • Design optimisation under uncertainties of aerospace systems and missions
  • Bayesian optimisation and uncertainty handling in aircraft design
  • Distributed global optimisation
  • Advances in machine learning paradigms for aerospace optimisation problems
  • Intelligent decision aid systems for aerospace design optimisation and analysis
  • Intelligent algorithms for prognostics, fault identification, diagnosis and repair
  • Evolutionary computation for concurrent engineering
  • Multidisciplinary design for aerospace missions and system design
  • Global trajectory optimisation
  • Formation and constellation design and control
  • Optimal control of spacecraft and rovers
  • Planning and scheduling in aerospace
  • Optimisation of engine emissions, fuel consumption, and noise
  • Full engine optimal design
  • Multipoint aircraft optimisation
  • Resource allocation and programmatics
  • Mission planning and control
  • Intelligent search and optimisation frameworks in aerospace applications
  • Performance evaluation and comparison methods for particular aerospace problems
  • Image analysis for guidance, navigation and control
  • Autonomous exploration of interplanetary and planetary environments
  • Emerging AI fields, such as artificial life or swarm intelligence, on future space research
  • Multi-agent systems approach and bio-inspired solutions for system design and control
  • Intelligent interfaces for human-machine interaction
  • Knowledge discovery, data mining and presentation of large data sets

Important Dates
Paper Submission deadline:
January 16, 2017 (24:00 EST).

 Registration deadline:
March 12, 2017 (24:00 EST).

Submission Guidelines

Manuscripts should be prepared according to the standard format of regular papers specified in IEEE CEC2017 (IEEE conference paper templates.). Paper submission is online through the CEC2017 submission website http://www.cec2017.org/ Papers submitted for these session will be peer-reviewed with the same criteria used for other contributed papers. All accepted papers in the special sessions will be included in the published conference proceedings.

Session Organisers

Prof. Massimiliano Vasile
Department of Mechanical & Aerospace Engineering, University of Strathclyde, Glasgow, UK
massimiliano.vasile@strath.ac.uk

Dr. Chit Hong Yam
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Japan, chithong.yam@ac.jaxa.jp

Dr. Edmondo Minisci
Department of Mechanical & Aerospace Engineering, University of Strathclyde, Glasgow, UK
edmondo.minisci@strath.ac.uk

Dr. Annalisa Riccardi
Department of Mechanical & Aerospace Engineering, University of Strathclyde, Glasgow, UK
Annalisa.riccardi@strath.ac.uk

Dr. Ramon Sagarna
Rolls Royce@NTU Corporate Lab, Nanyang Technological University, Singapore
saramon@ntu.edu.sg

Dr. Chi-Keong Goh
Advanced Technology Centre
Rolls-Royce Singapore Pte Ltd, Singapore
ChiKeong.Goh@Rolls-Royce.com

Prof. Yew-Soon Ong
School of Computer Science and Engineering, Nanyang Technological University, Singapore
ASYSOng@ntu.edu.sg

 

 


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