Various algorithms have been proposed for the determination of the optimum path(s) in line networks. Moving in space under constraints is a far more complex problem, where research has been relatively scarce. An example would be the determination of the shortest sea course between two harbors. This paper presents a graph-based approach to the problem of the optimum path(s) finding in space; and shows how it can be applied to a variety of spaces and application domains. This approach, although quantitative in nature, it may also support the piecewise qualitative path selection
This paper examines optimal path finding problems where cost function and constraints are direction,...
This paper describes a novel procedure to generate continuously differentiable optimal flight trajec...
This paper presents a different perspective on the Dijkstra algorithm. In this paper algorithm will ...
Abstract—Real time planning of optimal paths remains an open problem in many applications of autonom...
Among the main issues in the theory of geometric grids on spatial information systems, is the proble...
The paper shows the problem solving task of finding the graphs shortest paths by using the Dijkstra&...
Abstract—We define and study Euclidean and spatial network variants of a new path finding problem: g...
The representation of problems and systems is important. The more unificated representation we get, ...
The purpose of this thesis is to illustrate methods of finding optimum locations in networks. As an ...
Abstract. Numerous cognitive studies have indicated that the form and complexity of route instructio...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
Since notion of smart city and related applications have become very common recently, local governme...
Route planning for transportation systems is strongly related to shortest path algorithms, an optimi...
Abstract. In this paper, we study a class of optimal path problems with the following phenomenon: Th...
Finding the shortest path between two points in a network is a fundamental problem in computer scien...
This paper examines optimal path finding problems where cost function and constraints are direction,...
This paper describes a novel procedure to generate continuously differentiable optimal flight trajec...
This paper presents a different perspective on the Dijkstra algorithm. In this paper algorithm will ...
Abstract—Real time planning of optimal paths remains an open problem in many applications of autonom...
Among the main issues in the theory of geometric grids on spatial information systems, is the proble...
The paper shows the problem solving task of finding the graphs shortest paths by using the Dijkstra&...
Abstract—We define and study Euclidean and spatial network variants of a new path finding problem: g...
The representation of problems and systems is important. The more unificated representation we get, ...
The purpose of this thesis is to illustrate methods of finding optimum locations in networks. As an ...
Abstract. Numerous cognitive studies have indicated that the form and complexity of route instructio...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
Since notion of smart city and related applications have become very common recently, local governme...
Route planning for transportation systems is strongly related to shortest path algorithms, an optimi...
Abstract. In this paper, we study a class of optimal path problems with the following phenomenon: Th...
Finding the shortest path between two points in a network is a fundamental problem in computer scien...
This paper examines optimal path finding problems where cost function and constraints are direction,...
This paper describes a novel procedure to generate continuously differentiable optimal flight trajec...
This paper presents a different perspective on the Dijkstra algorithm. In this paper algorithm will ...