The following publications are possibly variants of this publication:
- A parallel cooperative team of multiobjective evolutionary algorithms for motif discoveryDavid L. González-Álvarez, Miguel A. Vega-Rodríguez. tjs, 66(3):1576-1612, 2013. [doi]
- Using a Parallel Team of Multiobjective Evolutionary Algorithms to Solve the Motif Discovery ProblemDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez. dcai 2010: 569-576 [doi]
- Convergence analysis of some multiobjective evolutionary algorithms when discovering motifsDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Alvaro Rubio-Largo. soco, 18(5):853-869, 2014. [doi]
- Predicting DNA Motifs by Using Evolutionary Multiobjective OptimizationDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez. tsmc, 42(6):913-925, 2012. [doi]
- Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA MotifsDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez. evoW 2012: 110-121 [doi]
- Multiobjective optimization algorithms for motif discovery in DNA sequencesDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Alvaro Rubio-Largo. gpem, 16(2):167-209, 2015. [doi]
- Designing a novel hybrid swarm based multiobjective evolutionary algorithm for finding DNA motifsDavid L. González-Álvarez, Miguel A. Vega-Rodríguez. gecco 2013: 1571-1578 [doi]
- Discovering DNA Motifs with a Parallel Shared Memory Differential EvolutionDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez. eurocast 2012: 232-239 [doi]
- Applying a Multiobjective Gravitational Search Algorithm (MO-GSA) to Discover MotifsDavid L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez. iwann 2011: 372-379 [doi]