Directed Evolution – A New Metaheuristc for Optimization

[1] Cobb, R. E., Chao, R. and Zhao, H., Directed evolution: Past, present, and future. AIChE Journal, 59, 2013, p. 1432–1440.10.1002/aic.13995Search in Google Scholar

[2] Jckel, C., Kast P., and Hilvert D., Protein design by directed evolution, Annu. Rev. Biophys, 37, 2008, p. 153-173.10.1146/annurev.biophys.37.032807.125832Search in Google Scholar

[3] Rubin-Pitel S., et al., Directed evolution tools in bio-product and bioprocess development, In Bioprocessing for Value-Added Products from Renewable Resources: New Technologies and Applications, 2006, p. 49-72.10.1016/B978-044452114-9/50004-9Search in Google Scholar

[4] Moreno, P. C., Moreno A. G., and Peuela C. J., Using directed evolution techniques to solve hard combinatorial problems, Proceedings of the Computer Science & Information Technologies Conference. CSIT 2009, p. 225-229.Search in Google Scholar

[5] Berlik, S., Directed Evolutionary Algorithms by Means of the Skew-Normal Distribution, In S. Co. 2009 Sixth Conference. Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction. Maggioli Editore, 2009, p.67.Search in Google Scholar

[6] Rotar, C., Directed Evolution-a Bio-inspired Optimization Technique, Proceedings of International Conference on Theory and Applications in Mathematics and Informatics, Alba Iulia, 2015.Search in Google Scholar

[7] Oates M. J., D. W. Corne, and D. B. Kell, The bimodal feature at large population sizes and high selection pressure: implications for directed evolution, Recent Advances in Simulated Evolution and Learning, 2003, p. 215-240.Search in Google Scholar

[8] Voigt C. A., et al., Computationally focusing the directed evolution of proteins, Journal of Cellular Biochemistry, 2001, p. 58-63.10.1002/jcb.10066Search in Google Scholar

[9] Yokobayashi, Yohei, et al., .Directed evolution of trypsin inhibiting peptides using a genetic algorithm, J. Chem. Soc., Perkin Trans. 1.20, 1996, p. 2435-2437.10.1039/p19960002435Search in Google Scholar

[10] Weber L., Applications of genetic algorithms in molecular diversity, Current Opinion in Chemical Biology 2.3, 1998, p. 381-385.10.1016/S1367-5931(98)80013-6Search in Google Scholar

[11] Arnold F. H., Design by directed evolution, Accounts of chemical research 31.3, 1998, p. 125-131.10.1021/ar960017fSearch in Google Scholar

[12] Cadwell R. C., and Gerald F. J., Randomization of genes by PCR mutagenesis, Genome research 2.1, 1992, p. 28-33.10.1101/gr.2.1.281490172Search in Google Scholar

[13] Stemmer W. PC., Rapid evolution of a protein in vitro by DNA shuffling, Nature 370.6488, 1994, p. 389-391.Search in Google Scholar

[14] Gartner Z. J., Evolutionary approaches for the discovery of functional synthetic small molecules, Pure and applied chemistry 78.1 2006, p. 1-14.10.1351/pac200678010001Search in Google Scholar

[15] Biyani M., et al., Evolutionary Molecular Engineering to Efficiently Direct in vitro Protein Synthesis, CELL-FREE PROTEIN SYNTHESIS, 2012, p. 51.10.5772/52311Search in Google Scholar

[16] Park S. J., and Cochran J. R., eds. Protein engineering and design. Vol. 75. CRC press, 2009.10.1201/9781420076592Search in Google Scholar

[17] Darwin Ch., and Beer G., The origin of species. Oxford: Oxford University Press, 1951.Search in Google Scholar

[18] Fisher R. A., The genetical theory of natural selection., 1958, available online at https://archive.orgSearch in Google Scholar

[19] Huxley J., Evolution. The Modern Synthesis, 1942. available online at www.ehudlamm.com/huxley.pdfSearch in Google Scholar

[20] Zitzler E., et al., Performance assessment of multiobjective optimizers: An analysis and review. Evolutionary Computation, IEEE Transactions on, 7(2), 2003, p. 117-132.10.1109/TEVC.2003.810758Search in Google Scholar

[21] Zitzler E., Deb, K., Thiele, L., Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Evolutionary Computation, vol. 8 no, 2, 2000, p. 173-195.10.1162/10636560056820210843520Search in Google Scholar

[22] Deb K., et al., A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6 (2), 2002, pp. 182-197.10.1109/4235.996017Search in Google Scholar

[23] Shi, Y. and Eberhart, R., A modified particle swarm optimizer, In Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence., 1998, pp. 69-73.Search in Google Scholar

[24] Pisinger D., Where are the hard knapsack problems?, Computers & Operations Research 32.9, 2005, p. 2271-2284.10.1016/j.cor.2004.03.002Search in Google Scholar

[25] De Castro, L.N., Fundamentals of natural computing: basic concepts, algorithms, and applications. CRC Press, 2006.10.1201/9781420011449Search in Google Scholar

[26] Mitchell, M. An introduction to genetic algorithms. MIT press, 1998.10.7551/mitpress/3927.001.0001Search in Google Scholar

[27] Dorigo M., Birattari M., and Stutzle T., Ant colony optimization, Computational Intelligence Magazine, IEEE 1.4, 2006, p. 28-39.10.1109/MCI.2006.329691Search in Google Scholar

[28] De Castro L.N., and Timmis J., Artificial immune systems: a new computational intelligence approach, Springer Science & Business Media, 2002.Search in Google Scholar

[29] Wilkins M. R. et al., From proteins to proteomes: large scale protein identification by two-dimensional electrophoresis and amino acid analysis, BioTechnology 14, 1996, p. 61–65.10.1038/nbt0196-619636313Search in Google Scholar

[30] Adorio E. P., Diliman U., MVF-Multivariate Test Functions Library in C for Unconstrained Global Optimization, 2005, available online at http://www.geocities.ws/eadorio.Search in Google Scholar