VARIABLE NEIGHBORHOOD SEARCH ALGORITHM FOR THE ROBUST p-MEDIAN PROBLEM
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.