We present a branch and cut algorithm that yields in finite time, a globally โผ-optimal solution (with respect to feasibility and optimality) of the nonconvex quadratically constrained quadratic programming problem. The idea is to estimate all quadratic terms by successive linearizations within a bra
โฆ LIBER โฆ
LaGO: a (heuristic) Branch and Cut algorithm for nonconvex MINLPs
โ Scribed by Ivo Nowak; Stefan Vigerske
- Publisher
- Springer-Verlag
- Year
- 2007
- Tongue
- English
- Weight
- 229 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1435-246X
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## Abstract In the swapping problem (SP), every vertex of a complete graph may supply and demand an object of a known type. A vehicle of unit capacity starting and ending its tour at an arbitrary vertex is available for carrying objects of given types between vertices. The SP consists of determinin
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