Hybrid genetic algorithms for constrained placement problems

@article{Schnecke1997HybridGA,
  title={Hybrid genetic algorithms for constrained placement problems},
  author={Volker Schnecke and Oliver Vornberger},
  journal={IEEE Trans. Evolutionary Computation},
  year={1997},
  volume={1},
  pages={266-277}
}
Genetic algorithms have proven to be a wellsuited technique for solving selected combinatorial optimization problems. When solving real-world problems, often the main task is to find a proper representation for the candidate solutions. Strings of elementary data types with standard genetic operators may tend to create infeasible individuals during the search because of the discrete and often constrained search space. This article introduces a generally applicable representation for two… CONTINUE READING
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