Tabu search with multi-level neighborhood structures for high dimensional problems

@article{Hedar2011TabuSW,
  title={Tabu search with multi-level neighborhood structures for high dimensional problems},
  author={Abdel-Rahman Hedar and Ahmed Fouad Ali},
  journal={Applied Intelligence},
  year={2011},
  volume={37},
  pages={189-206}
}
Metaheuristics have been successfully applied to solve different types of numerical and combinatorial optimization problems. However, they often lose their effectiveness and advantages when applied to large and complex problems. Moreover, the contributions of metaheuristics that deal with high dimensional problems are still very limited compared with low and middle dimensional problems. In this paper, Tabu Search algorithm based on variable partitioning is proposed for solving high dimensional… CONTINUE READING