A multiobjective swarm intelligence approach based on artificial bee colony for reliable DNA sequence design

Author:

Chaves-González José M.,Vega-Rodríguez Miguel A.,Granado-Criado José M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference46 articles.

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2. DNA sequence design using templates;Arita;New Gener. Comput.,2002

3. Arita, M., Nishikawa, A., Hagiya, M., Komiya, K., Gouzu, H., Sakamoto, K., 2000. Improving sequence design for DNA computing. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 875–882.

4. Strand design for biomolecular computation;Brenneman;Theor. Comput. Sci.,2002

5. Coello, C.A., VanVeldhuizen, D.A., Lamont, G.B., 2002. Evolutionary algorithms for solving multi-objective problems, genetic algorithms and evolutionary computation, Springer, New York, NY, USA.

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