2008 Fourth International Conference on Natural Computation (2008)
Oct. 18, 2008 to Oct. 20, 2008
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICNC.2008.344
The basic form of flow capturing location-allocation model is to locate facilities to intercept as much flow as possible from a given set of pre-existing flows on the network. With the assumption that the customer flow is stochastic variable in probability space, chance-constrained programming model is developed for this problem under Hurwicz rule. To solve this stochastic model, stochastic simulation, greedy search and genetic algorithm are integrated to produce a hybrid intelligent algorithm. Some examples generated randomly are tested to illustrate the effectiveness of the proposed algorithm.
facility location, hurwicz rule, stochastic demand, hybrid intelligent algorithm
J. Xiong, J. Yang, C. Yang and S. Liu, "Flow Capturing Location-Allocation Problem with Stochastic Demand under Hurwicz Rule," 2008 Fourth International Conference on Natural Computation(ICNC), vol. 07, no. , pp. 169-173, 2008.