CFP: IEEE CEC 2019 Special Session on “Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering”

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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 January 2019

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 (j.brown@innopolis.ru), Innopolis University, Russia

Gonzalo Ruz (gonzalo.ruz@uai.cl), Universidad Adolfo Ibanez, Chile

Daniel Ashlock (dashlock@uoguelph.ca), University of Guelph, Canada

Richard Allmendinger (richard.allmendinger@manchester.ac.uk), 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.