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A Parallel Cooperative Evolutionary Strategy for Solving the Reporting Cells Problem.

, , , , , and . SOCO, volume 73 of Advances in Intelligent and Soft Computing, page 71-78. Springer, (2010)

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Parallelizing a hybrid multiobjective differential evolution for identifying cis-regulatory elements., and . EuroMPI, page 223-228. ACM, (2013)Solving the reporting cells problem by using a parallel team of evolutionary algorithms., , , , , and . Logic Journal of the IGPL, 20 (4): 722-731 (2012)Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm., , , and . EvoBio, volume 6623 of Lecture Notes in Computer Science, page 89-100. Springer, (2011)Using a Parallel Team of Multiobjective Evolutionary Algorithms to Solve the Motif Discovery Problem., , , and . DCAI, volume 79 of Advances in Intelligent and Soft Computing, page 569-576. Springer, (2010)Parallel H4MSA for Multiple Sequence Alignment., , and . TrustCom/BigDataSE/ISPA (3), page 242-247. IEEE, (2015)978-1-4673-7952-6.A Parallel Cooperative Evolutionary Strategy for Solving the Reporting Cells Problem., , , , , and . SOCO, volume 73 of Advances in Intelligent and Soft Computing, page 71-78. Springer, (2010)A Multiobjective Variable Neighborhood Search for Solving the Motif Discovery Problem., , , and . SOCO, volume 73 of Advances in Intelligent and Soft Computing, page 39-46. Springer, (2010)Solving the motif discovery problem by using Differential Evolution with Pareto Tournaments., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)On the scalability of multi-objective metaheuristics for the software scheduling problem., , , and . ISDA, page 1110-1115. IEEE, (2011)Discovering DNA Motifs with a Parallel Shared Memory Differential Evolution., , , and . EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 232-239. Springer, (2011)