In this chapter we extend our previous studies on the self-adaptation of local searchers within a Memetic Algorithm. Self-adaptation allows the MA to learn which local searcher to use during search. In particular, we extend our results in tikya[12], where memes were instantiated as Fuzzy-Logic based local searchers, and we show that our Multimeme algorithms are capable of producing new optimum solutions to instances of the Protein Structure Prediction Problem in the HP-model.
CITATION STYLE
Pelta, D. A., & Krasnogor, N. (2006). Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction. In Recent Advances in Memetic Algorithms (pp. 49–64). Springer-Verlag. https://doi.org/10.1007/3-540-32363-5_3
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