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Results on solving TSS using different evolutionary and greedy algorithms.

Results on solving TSS using different evolutionary and greedy algorithms.

<p>Results on solving TSS using different evolutionary and greedy algorithms.</p>

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Bibliografiske detaljer
Hovedforfatter: Alexander Andreev (16822333) (author)
Andre forfattere: Stepan Kochemazov (677091) (author), Alexander Semenov (677092) (author)
Udgivet: 2025
Fag:
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
target set selection
fixed hamming weight
construct initial solutions
1 )- ea
computational scheme combining
boolean hypercube comprised
known influence maximization
using evolutionary algorithms
new algorithms outperform
random networks constructed
known greedy heuristic
algorithm suit well
evolutionary algorithms
greedy heuristic
combining greedy
known models
random graphs
proposed algorithms
proposed algorithm
new variant
maximize influence
boolean optimization
boolean networks
xlink ">
world networks
main novelty
fitness function
classic variant
also propose
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  • Beholdninger
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  • Lignende værker
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Lignende værker

  • Convergence plots for solving TSS for SNAP networks.
    af: Alexander Andreev (16822333)
    Udgivet: (2025)
  • Illustration of how (1 + 1)-WEA_v3 improves the target set when solving TSS.
    af: Alexander Andreev (16822333)
    Udgivet: (2025)
  • Results on solving TSS using (1 + 1)-WEA_v3 with different values of <i>Q.</i>
    af: Alexander Andreev (16822333)
    Udgivet: (2025)
  • Results on the comparison of evolutionary and greedy algorithms with exact solution.
    af: Alexander Andreev (16822333)
    Udgivet: (2025)
  • Comparison of the set found when solving IM for <i>k</i> = 19 by the greedy algorithm (left) and the one found by (1 + 1)-WEA for a network with <i>n</i> = 50 vertices.
    af: Alexander Andreev (16822333)
    Udgivet: (2025)

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