แปลว่าEN3703 SHIPPING & LOGISTICS.

แปลว่าEN3703 SHIPPING & LOGISTICS. 9/2010
In terms of exact algorithms, Desrochers et al. [11] has applied column generation that was able to solve some 100-customer problems optimally. Based on this, Kohl et al. [12] developed a more efficient optimization algorithm by introducing a new valid inequality within a branch-and-cut algorithm, called k-path cuts, which solves 70 the 87 Solomonbenchmark problems to optimality. However, due to the exponential size of the solution space, it is unlikely that these optimization procedures can be used for larger-scale problems.

ผลลัพธ์ (อังกฤษ) 1:

Means en3703 shipping & logistics. 9/2010
in terms of exact algorithms, desrochers et al. [11] has applied column generation that was able to solve some 100-customer problems optimally. Based on this, kohl et al. [12. ] developed a more efficient optimization algorithm by introducing a new valid inequality within a branch-and-cut algorithm, called k-path cuts,.

ผลลัพธ์ (อังกฤษ) 2:

& SHIPPING LOGISTICS mean 3703 EN. 9/2010
In terms of exact algorithms, Desrochers et al [11] has applied column generation that was able to solve some problems on 100-customer Based Kohl this optimally, et. al., [12] developed a more efficient optimization algorithm by introducing a new valid inequality within a branch-and-cut algorithm, called k-path, cuts. which solves 70 the 87 Solomonbenchmark problems to optimality. However, due to the exponential size of the solution space, it is unlikely that these optimization procedures can be used for larger-scale problems.

ผลลัพธ์ (อังกฤษ) 3:

That means EN 3703 SHIPPING & LOGISTICS. 9/2010
In terms of exact algorithms, Desrochers et al. [ 11] has applied column generation that was able to solve some 100 - customer problems optimally. Based on this, Kohl et al. 12 ] developed a more efficient optimization algorithm by introducing a new valid inequality within a branch-and-cut algorithm, called K-path cuts,70 which solves the problems to optimality 87 Solomonbenchmark. However, due to the exponential size of the solution space, it is unlikely that these optimization procedures can be used for larger-scale problems.