Effective and Efficient Caching in Genetic Algorithms

  title={Effective and Efficient Caching in Genetic Algorithms},
  author={Eunice E. Santos and Eugene Santos},
  journal={International Journal on Artificial Intelligence Tools},
Hard discrete optimization problems using randomized methods such as genetic algorithms require large numbers of samples from the solution space. Each candidate sample/solution must be evaluated using the target fitness/energy function being optimized. Such fitness computations are a bottleneck in sampling methods such as genetic algorithms. We observe that the caching of partial results from these fitness computations can reduce this bottleneck. We provide a rigorous analysis of the run-times… CONTINUE READING
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