Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
We consider a spatial problem arising in forest harvesting. For regulatory reasons, blocks harvested should not exceed a certain total area, typically 49 hectares. Traditionally, this problem, called the adjacency problem, has been approached by forming a priori blocks from basic cells of 5 to 25 hectares and solving the resulting mixed-integer program. Superior solutions can be obtained by including the construction of blocks in the decision process. The resulting problem is far more complex combinatorially. We present an exact algorithmic approach that has yielded good results in computational tests. This solution approach is based on determining a strong formulation of the linear programming problem through a clique representation of a projected problem. © 2005 INFORMS.
Hendrik F. Hamann
InterPACK 2013
Liqun Chen, Matthias Enzmann, et al.
FC 2005
Leo Liberti, James Ostrowski
Journal of Global Optimization
Minkyong Kim, Zhen Liu, et al.
INFOCOM 2008