Abstract
This paper describes hybrid algorithms based on artificial immune systems, fuzzy inference systems and tabu search to solve the Protein Folding Problem (PFP) in the 3D Hydrophobic-Polar model, which is a particular instance of the Combinatorial String Folding Problem in a cubic lattice. The proposed methodology aims at enhancing the Clonalg algorithm with a Fuzzy Aging Operator and Weak and Intensive Affinity Maturation. The aging operator uses a fuzzy system to decide which antibodies will be eliminated from the population before the selection stage. The Intensive Maturation employs a Tabu Search strategy. Penalty methods versus feasible search methods are also compared. The proposed hybrid algorithms are tested on a set of standard benchmark instances of PFP and the results attest the efficiency of the methodology.
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de Almeida, C.P., Gonçalves, R.A., Delgado, M.R. (2007). A Hybrid Immune-Based System for the Protein Folding Problem. In: Cotta, C., van Hemert, J. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2007. Lecture Notes in Computer Science, vol 4446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71615-0_2
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DOI: https://doi.org/10.1007/978-3-540-71615-0_2
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