This paper presents a memetic algorithm with self-adaptive local search, applied to protein structure prediction in an HP, cubic-lattice model. Besides describing in detail how the algorithm works, we report experimental results that justify important implementation choices, such as the introduction of speciation mechanisms and the extensive application of local search. Test runs on 48-mer chains show that the proposed algorithm has promising search capabilities.
A memetic algorithm for protein structure prediction in a 3D-lattice HP model / A. Bazzoli, A.G.B. Tettamanzi - In: Applications of evolutionary computing : EvoWorkshops 2004, EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC : Coimbra, Portugal, April 5-7, 2004 : proceedings / [a cura di] Günther R. Raidl ... [et al.]. - Berlin : Springer, 2004. - ISBN 3540213783. - pp. 1-10 (( convegno EvoWorkshops tenutosi a Coimbra nel 2004 [10.1007/b96500].
A memetic algorithm for protein structure prediction in a 3D-lattice HP model
A. Bazzoli;A.G.B. Tettamanzi
2004
Abstract
This paper presents a memetic algorithm with self-adaptive local search, applied to protein structure prediction in an HP, cubic-lattice model. Besides describing in detail how the algorithm works, we report experimental results that justify important implementation choices, such as the introduction of speciation mechanisms and the extensive application of local search. Test runs on 48-mer chains show that the proposed algorithm has promising search capabilities.
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