Add to ORKGThe main focus of this work is about a new special designed algorithm, called Cascading A * (CA*), to work efficiently on approximate heuristic graph search problems, especially on shortest path searching. The single source shortest path problem is defined as: Definition 1. Given a undirected graph G = (V,E), two vertices are adjacent when they are both inciden
to A theoretically most efficient search algorithm is presented which uses an exhaustive search to f...
Resource constrained path finding is a well studied topic in AI, with real-world applications in dif...
Path finding is one problem that is common and widely applied, for example, for determining the shor...
We present a search algorithm, called K*, for finding the k shortest paths (KSP) between a designate...
This paper presents a heuristic for guiding A* search for finding the shortest distance path between...
Heuristic search is used to efficiently solve the single-node shortest path problem in weighted gra...
In this paper, we define a class of combinatorial search problems in which the objective is to find ...
AbstractWe present a directed search algorithm, called K⁎, for finding the k shortest paths between ...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
In this paper we deal with algorithm A(*) and its application to the problem of finding the shortest...
This paper presents two new bidirectional heuristic search algorithms for solving the shortest path ...
Dijkstra's algorithm is arguably the most popular computational solution to finding single source sh...
Informed search algorithms such as A* use heuristics to focus exploration on states with low total p...
Nowadays it has become more and more important to reach a destination in a short time, in the shorte...
The shortest path problem in graphs is both a classic combinatorial optimization problem and a pract...
to A theoretically most efficient search algorithm is presented which uses an exhaustive search to f...
Resource constrained path finding is a well studied topic in AI, with real-world applications in dif...
Path finding is one problem that is common and widely applied, for example, for determining the shor...
We present a search algorithm, called K*, for finding the k shortest paths (KSP) between a designate...
This paper presents a heuristic for guiding A* search for finding the shortest distance path between...
Heuristic search is used to efficiently solve the single-node shortest path problem in weighted gra...
In this paper, we define a class of combinatorial search problems in which the objective is to find ...
AbstractWe present a directed search algorithm, called K⁎, for finding the k shortest paths between ...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
In this paper we deal with algorithm A(*) and its application to the problem of finding the shortest...
This paper presents two new bidirectional heuristic search algorithms for solving the shortest path ...
Dijkstra's algorithm is arguably the most popular computational solution to finding single source sh...
Informed search algorithms such as A* use heuristics to focus exploration on states with low total p...
Nowadays it has become more and more important to reach a destination in a short time, in the shorte...
The shortest path problem in graphs is both a classic combinatorial optimization problem and a pract...
to A theoretically most efficient search algorithm is presented which uses an exhaustive search to f...
Resource constrained path finding is a well studied topic in AI, with real-world applications in dif...
Path finding is one problem that is common and widely applied, for example, for determining the shor...