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How to construct the symmetric cycle of length 5 using Haj\'os construction with an adapted Rank Genetic Algorithm

Authors: Juan Carlos García-Altamirano; Mika Olsen; Jorge Cervantes-Ojeda;

How to construct the symmetric cycle of length 5 using Haj\'os construction with an adapted Rank Genetic Algorithm

Abstract

In 2020 Bang-Jensen et. al. generalized the Haj\'os join of two graphs to the class of digraphs and generalized several results for vertex colorings in digraphs. Although, as a consequence of these results, a digraph can be obtained by Haj\'os constructions (directed Haj\'os join and identifying non-adjacent vertices), determining the Haj\'os constructions to obtain the digraph is a complex problem. In particular, Bang-Jensen et al. posed the problem of determining the Haj\'os operations to construct the symmetric 5-cycle from the complete symmetric digraph of order 3 using only Haj\'os constructions. We successfully adapted a rank-based genetic algorithm to solve this problem by the introduction of innovative recombination and mutation operators from graph theory. The Haj\'os Join became the recombination operator and the identification of independent vertices became the mutation operator. In this way, we were able to obtain a sequence of only 16 Haj\'os operations to construct the symmetric cycle of order 5.

Keywords

FOS: Computer and information sciences, Computer Science - Artificial Intelligence, mathematics - combinatorics, 05c20, 05c15, 68t20, 68w50, 05C20, 05C15, 68T20, 68W50, Artificial Intelligence (cs.AI), QA1-939, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), computer science - artificial intelligence, Mathematics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold