A parallel cooperative team of multiobjective evolutionary algorithms for motif discovery
The Journal of Supercomputing
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This paper proposes the use of a parallel multi-core team to exploit the characteristics of several algorithms, when solving one of the best known biological problems, the Motif Discovery Problem (MDP). Often, when we solve an optimization problem, we have to tackle very different scenarios. This complicates finding a single technique or algorithm that will be able to solve all of them adequately. One possible solution to this problem is to combine different algorithms in a team that allows us to solve all scenarios. A parallel methodology is designed in this work, which combines the operation of four multiobjective evolutionary algorithms by using OpenMP to solve different motif discovery scenarios. Our conclusions show that our parallel multi-core team is quite flexible and accurate for this application, and an important tool for discovering relevant DNA motifs.