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    On the heritability of dandelion-encoded harmony search heuristics for tree optimization problems

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    Identifiers
    URI: http://hdl.handle.net/11556/228
    ISBN: 978-1-4673-9096-5
    DOI: 10.1109/INISTA.2015.7276763
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    Author/s
    Perfecto, Cristina; Bilbao, Miren Nekane; Del Ser, Javier; Ferro, Armando
    Date
    2015-09
    Keywords
    Dandelion code
    Tree optimization
    Harmony Search
    Abstract
    Tree based optimization problems stand for those paradigms where solutions can be arranged within a tree-like graph whose nodes represent the optimization variables of the problem at hand and their interconnecting edges topological and/or hierarchical relationships between such variables. In this context, a research line of increasing interest during the last decade focuses on the derivation of intelligent solution encoding strategies capable of 1) capturing all topological constraints of this particular class of graphs; and 2) preserving their connectivity properties when they undergo combination/mutation operations within approximative evolutionary solvers. This manuscript takes a step over the state of the art by shedding light on the heri-tability properties of the Dandelion tree encoding approach under avant-garde stochastically-controlled evolutionary operators. In particular we elaborate on the topological heritability of the so-called Harmony Memory Considering Rate (HMCR) ...
    Type
    conferenceObject

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