Andreas Lundell

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In this paper some transformation techniques, based on power transformations, are discussed. The techniques can be applied to solve optimization problems including signo-mial functions to global optimality. Signomial terms can always be convexified and underestimated using power transformations on the individual variables in the terms. However, often not(More)
This paper presents an improved as well as a completely new version of a mixed integer linear programming (MILP) formulation for solving the quadratic assignment problem (QAP) to global optimum. Both formulations work especially well on instances where at least one of the matrices is sparse. Modification schemes, to decrease the number of unique elements(More)
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