Influence maximization aims at identifying a limited set of key individuals in (social) network which spreads information based on some propagation model and maximizes the number reached. We show that influence probabilistic independent cascade can be modeled as stochastic maximal covering location problem. A reformulation Benders decomposition is proposed relation between obtained optimality c...

The Soft-Capacitated Facility Location Problem, where each facility is composed of a variable number of fixed-capacity production units, has been recently studied in several papers, especially in the metric case. In this paper, we only consider the general problem where connection costs do not systematically satisfy the triangle inequality property. We show that an adaptation of the set coverin...

in this paper the conditional location problem is discussed. conditional location problems have a wide range of applications in location science. a new meta-heuristic algorithm for solving conditional p-median problems is proposed and results are compared to those of the previous studies. this algorithm produces much better results than the previous formulations.