Session Organisers

Prof. Massimiliano Vasile
Department of Mechanical & Aerospace Engineering
University of Strathclyde, Glasgow, UK

Dr. Chit Hong Yam
Institute of Space and Astronautical Science
Japan Aerospace Exploration Agency
Sagamihara, Japan
Prof. Victor Becerra
School of Systems Engineering
University of Reading
Dr. Edmondo Minisci
Department of Mechanical & Aerospace Engineering
University of Strathclyde, Glasgow, UK

Scope and Motivations

In an expanding world with limited resources and increasing complexity, optimisation and computational intelligence become a necessity. Optimisation can turn a problem into a solution and computational intelligence can offer new solutions to effectively make complexity manageable. All this is particularly true in space and aerospace where complex systems need to operate optimally often in harsh and inhospitable environment with high level of reliability.  In Space and Aerospace Sciences, many applications require the solution of global single and/or multi-objective optimization problems, including mixed variables, multi-modal and non-differentiable quantities. From global trajectory optimization 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 (CI) 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.

Session Topics

Important Dates

Paper Submissions:
15 January 2016

Decision Notification:
15 March 2016

Camera Ready Submission:
15 April 2016

This special session intends to collect many, diverse efforts made in the application of computational intelligence 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.  Authors are invited to submit papers on one or more of the following topics:

  • Global trajectory optimization
  • Multidisciplinary design for space missions
  • Formation and constellation design and control
  • Optimal control of spacecraft and rovers
  • Planning and scheduling for autonomous systems in space
  • Multiobjective optimization for space applications
  • Resource allocation and programmatics
  • Evolutionary computation for Concurrent Engineering
  • Distributed global optimization
  • Mission planning and control
  • Robust Mission Design under Uncertainties
  • Intelligent search and optimization methods in aerospace applications
  • Image analysis for Guidance Navigation and Control
  • Autonomous exploration of interplanetary and planetary environments
  • Emerging AI technologies and Swarm Intelligence
  • Intelligent algorithms for fault identification, diagnosis and repair
  • Multi-agent systems and bio-inspired solutions for system design and control
  • Advances in machine learning for space applications
  • Intelligent interfaces for human-machine interaction
  • Knowledge Discovery, Data Mining and presentation of large data sets

Submission Guidelines

Manuscripts should be prepared according to the standard format of regular papers specified in IEEE WCCI 2016. Paper submission is online through the WCCI 2016 submission website 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.



Special Session on Computational Intelligence in Aerospace Science and Engineering PDF

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