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- W2022039210 abstract "We consider a multi-facility location problem in the presence of a line barrier with the starting point of the barrier uniformly distributed. The objective is to locate n new facilities among m existing facilities minimising the summation of the weighted expected rectilinear barrier distances of the locations of new facilities and new and existing facilities. The proposed problem is designed as a mixed-integer nonlinear programming model, conveniently transformed into a mixed-integer quadratic programming model. The computational results show that the LINGO 9.0 software package is effective in solving problems with small sizes. For large problems, we propose two meta-heuristic algorithms, namely the genetic algorithm and the imperialist competitive algorithm for optimisation. The numerical investigations illustrate the effectiveness of the proposed algorithms." @default.
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- W2022039210 date "2012-08-01" @default.
- W2022039210 modified "2023-10-17" @default.
- W2022039210 title "Multi-facility location problems in the presence of a probabilistic line barrier: a mixed integer quadratic programming model" @default.
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- W2022039210 doi "https://doi.org/10.1080/00207543.2011.579639" @default.
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