Monday, December 7, 2015

[DMANET] IEEE CEC 2016 Special Session - Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering (OLDBB)

Dear colleagues,

If you are working at the interface of computational intelligence and
biology, then the Special Session below (organized at IEEECEC in beautiful
Vancouver, CAN) may be of interest to you.

Best wishes,

*Special Session on *

*Optimization, Learning, and Decision-Making in Bioinformatics and
Bioengineering (OLDBB)*

2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016)
25 - 29 July 2016, Vancouver, Canada

Submission deadline: 15 January 2016
Submission details:

*Scope of the session*
This special session invites papers discussing recent advances in the
development and application of Optimization, Learning, and Decision-Making
in Bioinformatics and Bioengineering (OLDBB).

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 modeling,
retrieving and analysis of biological data, while Bioengineering is the
application of engineering techniques to biology so as to create usable and
economically viable products.

The main aim of this special session is to bring together both experts and
new-comers working on Optimization, Learning and Decision-Making in
Bioinformatics and Bioengineering (OLDMBB) to discuss new and exciting
issues in this area. This session is supported by the IEEE CIS
Bioinformatics and Bioengineering Technical Committee (BBTC) and the IEEE
CIS Task Force on Optimization Methods in Bioinformatics and Bioengineering.

We encourage submission of papers describing new
optimization/learning/decision-making strategies, challenges,
and applications in the area of BB. You are invited to submit papers that
are unpublished original work on topics that are, but not limited to, the

* (Single and multiobjective) optimization techniques for Bioinformatics
and Bioengineering (BB) problems
- Evolutionary algorithms
- Swarm Intelligence
- Metaheuristics
- Fuzzy optimization
- Surrogate-based methods
- Hybrid optimization algorithms (combinations of heuristics and exact

* Decision-making techniques for BB problems
- Preference elicitation and representation
- Aggregation-based techniques
- Fuzzy logic-based techniques
- Bayesian-based techniques

* Learning in the optimization of BB problems
- Link between Decision Maker's learning and model's learning
- Capturing and learning from user preferences
- Integrating optimization with machine learning
- Interactive learning and optimization techniques
- Techniques for learning user-driven parameter settings from examples

* Tuning of optimization, learning and decision-making techniques for BB
- Performance measures
- Test and benchmark problems
- (Interactive) visualization techniques
- Optimization and visualization software

* Emerging Topics in in BB
- Novel applications (process design, manufacturing, etc)
- Challenging problem features (e.g. many decision variables, dynamic
problems, uncertainty, expensive and limited evaluations, etc)
- Closed-loop applications and challenges
- Many-objective optimization, learning, and decision-making
- Ecoinformatics
- Side effect machines and other kernal representations for sequence
- Data modelling/mining and Big Data analytics

*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 January 2016
Notification of Acceptance: 15 March 2016
Camera-Ready Papers due: 15 April 2016

Richard Allmendinger, University College London, UK
Daniel Ashlock, University of Guelph, Canada
Sanaz Mostaghim, Otto von Guericke University of Magdeburg, Germany

*Program Committee*
Ashlock Wendy, York University, Canada
Auephanwiriyakul Sansanee, Chiang Mai University, Thailand
Branke Juergen, University of Warwick, UK
Brown Joseph, Innopolis University, Russia
Brown Michael, University of Maryland University College, USA
Coker James, University of Maryland University College, USA
Corns Steven, Missouri University, USA
Fogel Gary, Natural Selection Inc, USA
Handl Julia, University of Manchester, UK
Houghten Sheridan, Brock University, Canada
Jin Yaochu, University of Surrey, UK
Knowles Joshua, University of Manchester, UK
Langdon Bill, University College London, UK
Lavygina Anna, Imperial College London, UK
Rombo Simona, University of Palermo, Italy
Yifeng Li, University of British Columbia, Canada

For further information please contact Richard Allmendinger ( <>)

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