Add to ORKGOptimization problems in design of test and reliability improvement for complex systems have the core problem of finding the shortest path between terminal points of the network. Dynamic programming is typically used to solve this problem. A simpler and more efficient technique is presented that is based on a flood search technique using the binary adjacency matrix to minimize computations
The procedure of solving sequential decision problems by the Dynamic Programming (DP) approach can b...
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...
Shortest path problems are fundamental network optimization problems arising in many contexts and ha...
Finding the shortest path between two points in a network is a fundamental problem in computer scien...
Abstract: The current widespread use of location-based services and Global Positioning System techno...
Abstract. The problem of updating shortest paths in networks whose topology dynamically changes over...
It is known that minimum cost flow problems can be solved by successive augmentations along shortest...
The goal of this paper is to provide a basic overview of several different operations research probl...
The Resource Constrained Shortest Path Problem (RCSPP) often arises as a subproblem when decompositi...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
This work deals with three different combinatorial optimization problems: minimizing the total size ...
Discrete optimization algorithms exist for analysis of network optimization of flow problems. Comput...
The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in...
This paper develops a flexible analytical concept for robust shortest path detection in dynamically ...
The procedure of solving sequential decision problems by the Dynamic Programming (DP) approach can b...
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...
Shortest path problems are fundamental network optimization problems arising in many contexts and ha...
Finding the shortest path between two points in a network is a fundamental problem in computer scien...
Abstract: The current widespread use of location-based services and Global Positioning System techno...
Abstract. The problem of updating shortest paths in networks whose topology dynamically changes over...
It is known that minimum cost flow problems can be solved by successive augmentations along shortest...
The goal of this paper is to provide a basic overview of several different operations research probl...
The Resource Constrained Shortest Path Problem (RCSPP) often arises as a subproblem when decompositi...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
This work deals with three different combinatorial optimization problems: minimizing the total size ...
Discrete optimization algorithms exist for analysis of network optimization of flow problems. Comput...
The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in...
This paper develops a flexible analytical concept for robust shortest path detection in dynamically ...
The procedure of solving sequential decision problems by the Dynamic Programming (DP) approach can b...
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...