scholarly journals A Strong Class of Lifted Valid Inequalities for the Shortest Path Problem in Digraphs with Negative Cost Cycles

2015 ◽  
Vol 7 (4) ◽  
pp. 162 ◽  
Author(s):  
Mamane Souleye Ibrahim

In this paper, we address a strong class of lifted valid inequalities for the shortest path problem in digraphs with possibly negative cost cycles. We call these lifted inequalities the $incident \ lifted \ valid \ inequalities$ ($ILI$) as they are based on the incident arcs of a given vertex.  The $ILI$ inequalities are close in spirit of the so-called \textit{simple lifted valid inequalities} ($SLI$) and $cocycle \ lifted \ valid \ inequalities$ ($CLI$) introduced in Ibrahim et al. (2015). However, as we will see the $ILI$ inequalities are stronger than the first ones in term of linear relaxation strengthening. Indeed, contrary to  $SLI$ and $CLI$ inequalities, consider the same instances, in a cutting plane algorithm, the computational results prove that the $ILI$ inequalities provide the optimal integer solution for all the considered instances within no more than three iterations except one case for which after the first strengthening iteration, there exists no generated inequality.

1996 ◽  
Vol 118 (1) ◽  
pp. 82-88 ◽  
Author(s):  
Chihsiung Lo ◽  
P. Y. Papalambros

Global optimization algorithms for generalized polynomial design models using a global feasible search approach was discussed in a previous article. A new convex cutting plane algorithm (CONCUT) based on global feasible search and with improved performance is presented in this sequel article. Computational results of the CONCUT algorithm compared to one using linear cuts (LINCUT) are given for various test problems. A speed reducer design example illustrates the application of the algorithms.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Hyunchul Tae ◽  
Byung-In Kim

The resource-constrained elementary shortest path problem (RCESPP) aims to determine the shortest elementary path from the origin to the sink that satisfies the resource constraints. The resource-constrainedkth elementary shortest path problem (RCKESPP) is a generalization of the RCESPP that aims to determine thekth shortest path when a set ofk-1shortest paths is given. To the best of our knowledge, the RCKESPP has been solved most efficiently by using Lawler’s algorithm. This paper proposes a new approach named multiple-starting-path (MSP) to the RCKESPP. The computational results indicate that the MSP approach outperforms Lawler’s algorithm.


1996 ◽  
Vol 72 (2) ◽  
pp. 125-145 ◽  
Author(s):  
M. Grötschel ◽  
A. Martin ◽  
R. Weismantel

Author(s):  
Chihsiung Lo ◽  
Panos Y. Papalambros

Abstract Global optimization algorithms for generalized polynomial design models using a global feasible search approach was discussed in a previous article. A new convex cutting plane algorithm (CONCUT) based on global feasible search and with improved performance is presented in this sequel article. Computational results of the CONCUT algorithm compared to one using linear cuts (LINCUT) are given for various test problems. Two design examples, a speed reducer and a corrugated bulkhead design, illustrate the application of the algorithms.


Author(s):  
Francesco Carrabs ◽  
Raffaele Cerulli ◽  
Andrea Raiconi

The All-Colors Shortest Path is a recently introduced NP-Hard optimization problem, in which a color is assigned to each vertex of an edge weighted graph, and the aim is to find the shortest path spanning all colors. The solution path can be not simple, that is it is possible to visit multiple times the same vertices if it is a convenient choice. The starting vertex can be constrained (ACSP) or not (ACSP-UE). We propose a reduction heuristic based on the transformation of any ACSP-UE instance into an Equality Generalized Traveling Salesman Problem one. Computational results show the algorithm to outperform the best previously known one.


At-Taqaddum ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 211
Author(s):  
Siti Maslikhah

<em>Decision variables in the problem solving linear programs are often in the form of fractions. In some cases there are specific desires the solution in the form of an integer (integer). Integer solution is obtained by way of rounding does not warrant being in the area of fisibel. To obtain integer solutions, among others, by the method of Cutting Plane Algorithm or Branch and Bound. The advantages of the method of Cutting Plane Algorithm is quite effectively shorten the matter, while the advantages of the method of Branch and Bound the error level is to have a little but requires quite a long calculation.</em>


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