Call for Paper - IEEE Computational Intelligence Magazine

Special Issue on Computational Intelligence in Aerospace Science and Engineering

Scope and Motivations
In an expanding world with limited resources Computational Intelligence has become a necessity to handle the complexity of systems and processes. The Aerospace sector, in particular, has stringent performance requirements on highly complex systems for which solutions are expected to be optimal and reliable at the same time.  
Computational Intelligence techniques have been widely used to find solutions to global single and/or multi-objective optimisation problems, including mixed variables, multi-modal and non-differentiable quantities. Specialised conferences like EUROGEN, for over two decades now, have collected hundreds of scholars to present the use of Computational Intelligence techniques to the design and control of aerospace systems. By winning the Humies competition in 2013, the European Space Agency, demonstrated how Computational Intelligence can help designing better space missions. Companies, like ESTECO, led by Prof Poloni, and academics, like Prof Obayashi at Tohoku University, organisers of CEC2015, have demonstrated how to design complete airplanes with Evolutionary Multi-Objective Optimisation, Self-Organsising Maps and other Computational Intelligence techniques. Other groups, like the one of Prof Abbass, at UNSW, have used Computational Intelligence for Air Traffic Management. Space companies, like Thales-Alenia Space, the Aerospace Corporation or Deimos Space, have used Computational Intelligence techniques to solve resource allocation problems on the Space Station, the design and deployment of satellite constellations and autonomous planning and scheduling for drones, planetary rovers, robotic arms, rendezvous and docking of space vehicles. Large European projects, worth tens of millions of Euros, like CRESCENDO, UMRIDA and the recent UTOPIAE (led by the proposer of this special issue) are all focused on the development of Computational Intelligence techniques in Aerospace and collect the efforts of over 50 institutions across the world, including Airbus, DLR, CIRA, the Von Karman Institute, INRIA. 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, etc.), evolve scheduled plans for unmanned aerial vehicles, improve aerodynamic design (e.g. airfoil and vehicle shape), optimise structures, improve the control of aerospace vehicles, regulate air traffic, classify galaxies with machine learning, treat uncertainty with rough sets, etc.  
These examples demonstrate that, in the aerospace sector, Computational Intelligence has become an important – and in many cases inevitable – tool for tackling complex, difficult problems, providing useful and non-intuitive solutions. Not only has the application of existing CI techniques to Aerospace provided new and effective solutions but has also stimulated the development of substantially new approaches and methods.
This special issue intends to collect many, diverse efforts made in the development and application of Computational Intelligence techniques to Aerospace problems. The issue seeks to collect the latest advances in the use of Computational intelligence in Aerospace. In particular computational intelligence methods specifically devised, adapted or tailored to address problems in space and aerospace applications or computational intelligence methods that were demonstrated to be particularly effective at solving aerospace related problems are welcome.  

Authors are invited to submit papers on one or more of the following topics:
•    Global trajectory optimisation
•    Multidisciplinary design of space and aerospace systems
•    Formation and constellation design and control
•    Autonomous control of spacecraft and rovers
•    Planning and scheduling for autonomous systems in space
•    Multiobjective optimisation for aerospace applications
•    Resource allocation and programmatics
•    Evolutionary computation for Concurrent Engineering
•    Distributed global optimisation and cloud computing
•    Mission planning and control
•    Optimisation Under Uncertainty and Uncertainty Quantification
•    Intelligent search and optimization methods in aerospace
•    Image analysis for Guidance Navigation and Control
•    Autonomous exploration of interplanetary and planetary environments
•    AI, Artificial Life and Swarm Intelligence in aerospace research
•    Intelligent algorithms for fault identification, diagnosis and repair
•    Multi-agent systems approach and bio-inspired solutions for system design and control
•    Advances in machine learning for space and aerospace applications
•    Intelligent interfaces for human-machine interaction
•    Knowledge Discovery, Data Mining and presentation of large data sets
•    Air Traffic Management and Control
•    Computational intelligence for expensive large scale problems
•    Analysis and control of Complex aerospace systems

Submission Process

The paper length for the manuscript is typically 20 pages in a single-column double-space format including tables, figures and references (10 pages in a two-column single-space format). Authors of papers should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Details on the submission process will be available soon.

Important Dates
•    31st January, 2017: Submission of Manuscripts
•    15th April, 2017: Notification of Review Results
•    15th May, 2017: Submission of Revised Manuscripts
•    15th June, 2017: Submission of Final Manuscripts
•    November 2017: Publication

Guest Editor
Prof. Massimiliano Vasile
Chairman of the CIS ETTC Task Force on Computational Intelligence in Aerospace Sciences
Aerospace Centre of Excellence
Department of Mechanical & Aerospace Engineering
University of Strathclyde, Glasgow, UK

Dr. Chit Hong Yam
Co-Chair of the CIS ETTC Task Force on Computational Intelligence in Aerospace Sciences
Institute of Space and Astronautical Science
Japan Aerospace Exploration Agency
Sagamihara, Japan

Dr. Edmondo Minisci
Member of the CIS ETTC Task Force on Computational Intelligence in Aerospace Sciences
Centre for Future Air-Space Transportation Technologies
Department of Mechanical & Aerospace Engineering
University of Strathclyde, Glasgow, UK

Prof Ke Tang
School of Computer Science and Technology
University of Science and Technology of China
Hefei, Anhui, China, 230027
Phone: +86-551-63600547
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