Abstract
The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA sequences while minimizing the number of evolutionary changes. Known to be NP-complete, the MP problem has many applications. This paper introduces a Distance-based Information Preservation (DiBIP) Tree Crossover. Contrary to previous crossover operators, DiBIP uses a distance measure to characterize the semantic information of a phylogenetic tree and ensures the preservation of distance related properties between parents and offspring. The performance of DiBIP is assessed with a mimetic algorithm on a set of 28 benchmark instances from the literature. Comparisons with 3 state-of-the-art algorithms show very competitive results of the proposed approach with improvement of some previously best results found.
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GoĆ«ffon, A., Richer, JM., Hao, JK. (2006). A Distance-Based Information Preservation Tree Crossover for the Maximum Parsimony Problem. In: Runarsson, T.P., Beyer, HG., Burke, E., Merelo-GuervĆ³s, J.J., Whitley, L.D., Yao, X. (eds) Parallel Problem Solving from Nature - PPSN IX. PPSN 2006. Lecture Notes in Computer Science, vol 4193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11844297_77
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DOI: https://doi.org/10.1007/11844297_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38990-3
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