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Parallel algorithms for continuous multifacility competitive location problems
2009
Journal of Global Optimization
We consider a continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment. Both the locations and the qualities of the new facilities are to be found so as to maximize the profit obtained by the firm. This hard-to-solve global optimization problem has been addressed in [38] using several heuristic approaches. Through a comprehensive computational study, it was shown that the evolutionary algorithm UEGO is the heuristic which provides the
doi:10.1007/s10898-009-9455-6
fatcat:int5erv7i5ef5it7ovpx2v7e7i