Classical and urgencies assignment methods in p-median problems with fuzzy genetic algorithm

The objective in the p-median problem is to minimize the total demand-weighted distance between facilities and demand points. two different assignment techniques are considered. these techniques are the classical assignment technique and the assignment through urgencies technique. a fuzzy genetic algorithm,crossover operator and crossover rate are used to compare the behavior and efficiency of these methods. the performances of these techniques are assessed by using the benchmark problems currently available in open literature. it is found that the assignment through urgencies is much superior to the classical assignment method. © 2015 pakistan journal of statistics.