IEEE Congress on Evolutionary Computation (IEEE CEC 2016)
25-29 July, 2016, Vancouver, Canada
Special Session Title: Evolutionary Computation for Computational Biology (ID: CEC-30)
Organized by: Dr. Anirban Mukhopadhyay, Dr. Ujjwal Maulik and Dr. Sanghamitra Bandyopadhyay
Aim and Objective
Computational biology is coming out as an emerging field for application of evolutionary computation tools and techniques such as genetic algorithms, genetic programming, differential evolution, particle swarm optimization, ant colony optimization and other related population-based metaheuristic techniques. Many of the computational biology problems, such as sequence alignment, gene mapping, fragment assembly, phylogenetic analysis, microarray analysis, biological network analysis and rational drug design can be posed as optimization problems. Therefore evolutionary computing techniques have been applied to these problems over the last few decades as optimization tools. However, growing size and complexity of biological data are creating new issues and challenges and it is becoming difficult to apply off-the-shelf techniques directly. These challenges include coping with large data size, handling many objective functions, dealing with large number of features, incorporating biological knowledge in the models etc. The main aim of this special session is to bring together the scientists and researchers of this field to exchange the latest advances in theories and experiments in this area.
Scope and Topics
Researchers are invited to submit original and unpublished works that deal with application of evolutionary computation techniques to the following and other related areas.