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Special Session on  

Optimization, Learning, and Decision-Making in Bioinformatics and
Bioengineering

https://tinyurl.com/OLDBB-IEEE-CEC-2019

 

2019 IEEE Congress on Evolutionary Computation (CEC 2019)

10-13 June 2019, Wellington, New Zealand 

Submission deadline: 7 21 January 2019 (extended)

Submission details: http://cec2019.org/papers.html

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Scope and topics

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, 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 many
challenges and issues can be formulated as (single and multiobjective)
optimization problems. These problems span from traditional problems, such
as the optimization of biochemical processes, construction of gene
regulatory networks, 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 is to bring together both experts and
new-comers working on Optimization, Learning and Decision-Making in
Bioinformatics and Bioengineering to discuss new and exciting issues in this
area. The topics are, but not limited to, the following

.                    (Single and multiobjective) optimization techniques for
Bioinformatics and Bioengineering (BB) problems

.                    Decision-making and MCDM techniques for BB problems

.                    Experimental optimization of BB problems

.                    Learning in/from the optimization of BB problems

.                    Data-driven optimization for BB problems

.                    Tuning of optimization, learning and decision-making
techniques for BB problems

.                    Emerging topics in BB 

o   Novel applications

o   Novel challenges

o   Interactive visualization

o   Predictive fitness landscape design

o   Many-objective optimization

o   Ecoinformatics

o   Side effect machines and other kernal representations for sequence
analysis

o   Biomedical data modelling and mining

 

Organizers

Joseph A. Brown ([log in to unmask] <mailto:[log in to unmask]> ),
Innopolis University, Russia

Gonzalo Ruz ([log in to unmask] <mailto:[log in to unmask]> ), Universidad
Adolfo Ibanez, Chile

Daniel Ashlock ([log in to unmask] <mailto:[log in to unmask]> ),
University of Guelph, Canada

Richard Allmendinger ([log in to unmask]
<mailto:[log in to unmask]> ), The University of
Manchester, UK

 

More information about the session can be found at
https://tinyurl.com/OLDBB-IEEE-CEC-2019. Feel free to contact the session
organizers if you have any further questions. 


Best wishes, 

Joseph, Gonzalo, Daniel, and Richard

 

 


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