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Branch and bound algorithm for multidimensional scaling with city-block metric. (English) Zbl 1179.90250
Summary: A two level global optimization algorithm for multidimensional scaling (MDS) with city-block metric is proposed. The piecewise quadratic structure of the objective function is employed. At the upper level a combinatorial global optimization problem is solved by means of branch and bound method, where an objective function is defined as the minimum of a quadratic programming problem. The later is solved at the lower level by a standard quadratic programming algorithm. The proposed algorithm has been applied for auxiliary and practical problems whose global optimization counterpart was of dimensionality up to 24.

90C20 Quadratic programming
90C27 Combinatorial optimization
Full Text: DOI
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