Monday, April 28, 2014

[DMANET] IEEE SSCI Special Session on Optimization Methods in Bioinformatics and Bioengineering (OMBB)

Special Session on Optimization Methods in Bioinformatics and Bioengineering (OMBB)
2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014)
December 9-12, 2014, Orlando, Florida, USA

Submission deadline: 15 June 2014
Submission site:

Aim and Scope

Bioinformatics and Bioengineering (BB) are interdisciplinary scientific fields involving many branches of computer science, engineering, mathematics, and statistics. Bioinformatics is concerned with the development and application of computational methods for the modelling, retrieving and analysis of biological data, whilst Bioengineering is the application of engineering techniques to biology so as to create usable and economically viable products.

Bioinformatics and Bioengineering are relatively new fields in which challenges and issues can often be formulated as optimization problems subject to multiple conflicting objectives. Such multiobjective optimization problems span from traditional problems, such as the optimization of biochemical processes, protein structure alignment and prediction, to more modern problems, such as directed evolution, drug design, experimental design, and optimization of manufacturing processes, material and equipment.

The main aim of this special session, which is organized within the SSCI-MCDM'14 Symposium, is to bring together both experts and new-comers working on Optimization Methods in Bioinformatics and Bioengineering (OMBB) to discuss new and exciting issues in this area.

Topics of Interest

We encourage submission of papers describing new concepts, strategies and challenges in the area of Bioinformatics and Bioengineering (BB). In addition, we are interested in application papers discussing the power and applicability of these novel methods to real-world problems in BB. You are invited to submit papers that are unpublished original work for this special session at SSCI-MCDM'14.

The topics are, but not limited to, the following

* Optimization methods for BB problems
* Novel optimization problems in BB
* Emerging non-standard problem challenges in BB problems (e.g. missing objective values, resourcing issues, dynamic changes, many objectives, large-scale, mixed-typed variables, etc.)
* Closed-loop optimization in BB
* Interactive multiobjective optimization in BB
* Predictive fitness landscape design for BB problems
* Integrating user preferences into multiobjective optimization of BB problems
* Handling practicalities in BB problems, such as uncertainty, noise, constraints, fixed budget of evaluations, high computational costs, etc.
* Robustness in the optimization of BB problems
* Visualization techniques for complex BB problems
* Adaptation, learning, and anticipation in BB problems

Submission Instructions

We welcome original contributions describing ongoing projects or completed work.
The instructions for authors, and LaTeX and Word templates can be found at

Key Dates

Paper Submissions due: 15 June 2014
Notification of Acceptance: 5 September 2014
Camera-Ready Papers due: 5 October 2014


Richard Allmendinger, University College London, UK
Anna Lavygina, Imperial College London, UK
Sanaz Mostaghim, Otto von Guericke University of Magdeburg, Germany

Program Committee

Allmendinger Richard, University College London, UK
Ashlock Daniel, University of Guelph, Canada
Blum Christian, University of the Basque Country, Spain
Branke Jürgen, University of Warwick, UK
Chandra Arjun, University of Oslo, Norway
Deb Kalyanmoy, Michigan State University, USA
Emmerich Michael, Leiden University, Netherlands
Handl Julia, University of Manchester, UK
Knowles Joshua, University of Manchester, UK
Langdon Bill, University College London, UK
Lavygina Anna, Imperial College London, UK
Li Xiaodong, RMIT University, Australia
Mostaghim Sanaz,Otto von Guericke University of Magdeburg, Germany
Rombo Simona, University of Palermo, Italy
Shukla Pradyumn Kumar, Karlsruhe Institute of Technology, Germany


For further information please contact Richard Allmendinger (
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