| LINDO: Linear INteractive and Discrete Optimizer for Linear, Integer, and Quadratic Programming Problems, LINDO Systems Inc. |
.... which include: As the number of variables in the ILP formulation increase, the run time increases greatly [2; 3] It is difficult to formulate the versatile constraints necessary for criteria (1) and (2) 3] When the ILP approach is used, the ILP solving program (e.g. LINDO [4]) may not converge to a solution on even a moderate number of variables and constraints. On the other hand, simulated annealing is an optimization technique which is flexible enough to meet al..l three of the listed criteria. While, several datapath allocation algorithms in the past have used ....
LINDO: Linear INteractive and Discrete Optimizer for Linear, Integer, and Quadratic Programming Problems, LINDO Systems Inc.
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