Notícias

Special Issue on Exact and Heuristic Solutions for Optimization Problems

 

Many real-world problems may be formulated as optimization problems, and high-quality solutions for solving hard optimization problems are required. This Special Issue on Exact and Heuristic Solutions for Optimization Problems focuses on publishing original and high-quality papers that significantly contribute to the areas of Combinatorial Optimization, Continuum Optimization and with the design and Application of algorithms for solving real-life optimization problems.

Papers must be written in English, according to the RITA formatting guidelines. Only full papers are accepted for submission. Papers will be refereed through a blind process for technical merit and content. 

Topics of Interest (not limited to):
Operational Research Applications
Combinatorial Optimization Methods
Continuous Optimization Methods
Dynamic Optimization Problems
Constraint Programming
Exact, Metaheuristic, and Matheuristic Methods
Multi-Objective Optimization
Valid Inequalities and Decompositions
Heuristics Combined with Machine Learning Techniques 

Parallel and Cooperative Metaheuristics
Evolutionary Algorithms


Papers will be submitted to the journal in the normal way but authors should select the Special Issue – ”Exact and Heuristic Solutions for Optimization Problems”. 

IMPORTANT DATES 

Paper Submission Deadline:
Feb, 15, 2018

First Round Notification:
Apr, 19, 2018

Revision:
May, 3, 2018

Final Decision:
Jun, 7, 2018

Publication Date:
Jul, 12, 2018

Editor-In-Chief:
Prof. Dr. Márcio Dorn 
Federal University of Rio Grande do Sul, Brazil 
E-mail: mdorn@inf.ufrgs.br

Guest Editors:

Prof. Dr. Regina Berretta 
University of Newcastle, Australia 
E-mail: regina.berretta@newcastle.edu.au

Prof. Dr. Luciana S. Buriol
Federal University of Rio Grande do Sul, Brazil 
E-mail: buriol@inf.ufrgs.br
 
Publicado: 2017-10-27
 

Special Issue on Bioinformatics and Computational Biology

 
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We are very pleased to announce a special issue, to be published in 2018, on Bioinformatics and Computational Biology in the Revista de Informática Teórica e Aplicada (RITA). The development of Bioinformatics has greatly accelerated and even renovated the research on Life Sciences, including major breakthroughs in Molecular Biology, Genomics, Biomedical Applications, Biomolecular Structure Modeling, among many other areas. Thus, we propose a special issue of RITA, focusing on such advances. 

Papers must be written in English, according to the RITA formatting guidelines. Only full papers are accepted for submission. Papers will be refereed through a blind process for technical merit and content. 

TOPICS OF INTEREST (not limited to): 
-Machine Learning techniques with application in Bioinformatics
-Evolutionary Computation in Bioinformatics
-Multi-Objective Algorithms for Bioinformatics problems(phylogenic inference, molecular -docking, protein structure prediction, etc)
-Big Data in Bioinformatics
-Heuristics and Meta-Heuristics in Bioinformatics
-Parallel and High Performance Computing for DNA/Protein sequence analysis, Structural Simulation, etc
-Methods and Computational Strategies for Structural Bioinformatics
-Data Mining Techniques and Algorithms for Bioinformatics
-Computational Solutions for Omics Data
-Information Visualization Techniques in Bioinformatics (biological network analysis, structural bioinformatics, genomics data, etc)

IMPORTANT DATES 
Paper Submission Deadline: Dec, 1, 2017 
First Round Notification: Jan, 5, 2018 
Revision: Jan, 30, 2018 
Final Decision: Feb, 15, 2018
Publication Date: Mar, 15, 2018 

EDITOR AND GUEST EDITORS: 
Dr. Márcio Dorn
mdorn@inf.ufrgs.br
Institute of Informatics, UFRGS Porto Alegre - RS - Brazil

Dr. Rodrigo Ligabue-Baun
rodrigobraun@cbiot.ufrgs.br
Center for Biotechnology, UFRGS Porto Alegre - RS - Brazil 

Dr. Mario Inostroza-Ponta
mario.inostroza@usach.cl
Dept. Ingeniería Informática, USACH Santiago - Chile

Dr. Hugo Verli
hverli@cbiot.ufrgs.br
Center for Biotechnology, UFRGS Porto Alegre - RS - Brazil 

 
Publicado: 2017-09-08
 
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