The Linkage Tree Genetic Algorithm

@inproceedings{Thierens2010TheLT,
  title={The Linkage Tree Genetic Algorithm},
  author={D. Thierens},
  booktitle={PPSN},
  year={2010}
}
  • D. Thierens
  • Published in PPSN 2010
  • Computer Science
  • We introduce the Linkage Tree Genetic Algorithm (LTGA), a competent genetic algorithm that learns the linkage between the problem variables. The LTGA builds each generation a linkage tree using a hierarchical clustering algorithm. To generate new offspring solutions, the LTGA selects two parent solutions and traverses the linkage tree starting from the root. At each branching point, the parent pair is recombined using a crossover mask defined by the clustering at that particular tree node. The… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 16 REFERENCES
    The Design of Innovation: Lessons from and for Competent Genetic Algorithms
    • 1,000
    • PDF
    Linkage in Evolutionary Computation
    • 19
    CrossNet: a framework for crossover with network-based chromosomal representations
    • 11
    • PDF
    Network crossover performance on NK landscapes and deceptive problems
    • 11
    • PDF
    Hierarchical Clustering Using Mutual Information
    • 194
    • PDF
    Analyzing Deception in Trap Functions
    • 381
    Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression
    • 30
    • PDF