Abstract. We review shortest path algorithms based on the multi-level bucket data structure [6] and discuss the interplay between theory and engineering choices that leads to efficient implementations. Our experimental results suggest that the caliber heuristic [17] and adaptive parameter selection give an efficient algorithm, both on typical and on hard inputs, for a wide range of arc lengths
This paper presents an approach to the shortest path routing problem that uses one of the most popul...
Efficient management of networks requires that the shortest route from one point (node) to another i...
It is known that minimum cost flow problems can be solved by successive augmentations along shortest...
We review shortest path algorithms based on the multi-level bucket data structure [6] and discuss t...
Shortest path problems are fundamental network optimization problems arising in many contexts and ha...
textabstractShortest path problems occupy an important position in operations research as well as in...
Abstract—While the ever growing computational capabilities of devices that are used for man-machine ...
In this paper, we report on our own experience in studying a fundamental problem on graphs: all pair...
The Shortest Path Problem (SPP) is among the most studied problems in Operations Research, for its t...
Abstract—The development of concepts derived from the generic approach to solving the problem of the...
Shortest paths problem is one of the most encountered graph problems, which is commonly solved as su...
Dijkstra's algorithm is arguably the most popular computational solution to finding single source sh...
While the shortest path problem has myriad applications, the computational efficiency of suitable al...
Shortest Path Problems are among the most studied network flow optimization problems, with interes...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
This paper presents an approach to the shortest path routing problem that uses one of the most popul...
Efficient management of networks requires that the shortest route from one point (node) to another i...
It is known that minimum cost flow problems can be solved by successive augmentations along shortest...
We review shortest path algorithms based on the multi-level bucket data structure [6] and discuss t...
Shortest path problems are fundamental network optimization problems arising in many contexts and ha...
textabstractShortest path problems occupy an important position in operations research as well as in...
Abstract—While the ever growing computational capabilities of devices that are used for man-machine ...
In this paper, we report on our own experience in studying a fundamental problem on graphs: all pair...
The Shortest Path Problem (SPP) is among the most studied problems in Operations Research, for its t...
Abstract—The development of concepts derived from the generic approach to solving the problem of the...
Shortest paths problem is one of the most encountered graph problems, which is commonly solved as su...
Dijkstra's algorithm is arguably the most popular computational solution to finding single source sh...
While the shortest path problem has myriad applications, the computational efficiency of suitable al...
Shortest Path Problems are among the most studied network flow optimization problems, with interes...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
This paper presents an approach to the shortest path routing problem that uses one of the most popul...
Efficient management of networks requires that the shortest route from one point (node) to another i...
It is known that minimum cost flow problems can be solved by successive augmentations along shortest...