Self-Adaptive Genetic Algorithm for Clustering

  title={Self-Adaptive Genetic Algorithm for Clustering},
  author={Juha Kivij{\"a}rvi and Pasi Fr{\"a}nti and Olli Nevalainen},
  journal={J. Heuristics},
Clustering is a hard combinatorial problem which has many applications in science and practice. Genetic algorithms (GAs) have turned out to be very effective in solving the clustering problem. However, GAs have many parameters, the optimal selection of which depends on the problem instance. We introduce a new self-adaptive GA that finds the parameter setup on-line during the execution of the algorithm. In this way, the algorithm is able to find the most suitable combination of the available… CONTINUE READING
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