<p>We consider the robust <i>p</i>-median problem, where the stability associated with consumer demand is optimized. Since the known software requires high CPU time and memory, we develop approximate methods. We propose a problem-oriented version of the variable neighborhood search algorithm. The results are compared with known results, and the experimental data are discussed.</p>

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VARIABLE NEIGHBORHOOD SEARCH ALGORITHM FOR THE ROBUST p-MEDIAN PROBLEM

  • Tatiana Levanova,
  • Ivan Khmara

摘要

We consider the robust p-median problem, where the stability associated with consumer demand is optimized. Since the known software requires high CPU time and memory, we develop approximate methods. We propose a problem-oriented version of the variable neighborhood search algorithm. The results are compared with known results, and the experimental data are discussed.