A note on the Weber location problem
Annals of Operations Research - Special issue on locational decisions
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
A heuristic method for large-scale multi-facility location problems
Computers and Operations Research
A Unified Continuous Optimization Framework for Center-Based Clustering Methods
The Journal of Machine Learning Research
Journal of Classification
Probabilistic distance clustering adjusted for cluster size
Probability in the Engineering and Informational Sciences
Iterative Minimization Schemes for Solving the Single Source Localization Problem
SIAM Journal on Optimization
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
Journal of Global Optimization
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An iterative method is proposed for the K facilities location problem. The problem is relaxed using probabilistic assignments, depending on the distances to the facilities. The probabilities, that decompose the problem into K single-facility location problems, are updated at each iteration together with the facility locations. The proposed method is a natural generalization of the Weiszfeld method to several facilities.