A shortest-route algorithm for finite networks is modified for application to path-dependent finite networks and to stochastic networks. The type of stochastic network considered has a capture probability associated with each node;The problem of finding a path of minimum expected value on a countable infinite stochastic network is discussed. Conditions are presented under which countable paths have the same minimum expected value as permutation paths;A continuous analog of the countable network, consisting of a hazard function on the plane and curves in the plane, is developed. Two optimality criteria are investigated: stochastic ordering and minimum expected value. Necessary conditions are given for paths to be optimal under the two crit...
In this invited contribution, we revisit the stochastic shortest path problem, and show how recent r...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
textNetwork Routing problems focus on exploiting the network-based struc- ture of a mathematical op...
In Chapter 1, we present a stochastic shortest path problem that we refer to as the Most Likely Path...
The problem of finding the distribution of the shortest path length through a stochastic network is ...
AbstractThis paper addresses the problem of finding reliable a priori shortest path to maximize the ...
This paper deals with the search of optimal paths in a multi-stage stochastic decision network as a ...
AbstractCommon network parameters, such as number of nodes and arc lengths are frequently subjected ...
The length of the stochastic shortest path is defined as the arrival probability from a source node ...
This thesis develops methodologies for solving constrained shortest path problems in dynamic and ran...
The dissertation presents algebraic approaches to the shortest path and maximum flow problems in sto...
Caption title. "October 1988."Includes bibliographical references.Supported by the National Science ...
This paper considers a stochastic shortest path problem where the arc lengths are independent random...
A novel path planning approach is presented to solve optimal path in stochastic, time-varying networ...
We consider network optimization problems in which the weights of the edges are random variables. We...
In this invited contribution, we revisit the stochastic shortest path problem, and show how recent r...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
textNetwork Routing problems focus on exploiting the network-based struc- ture of a mathematical op...
In Chapter 1, we present a stochastic shortest path problem that we refer to as the Most Likely Path...
The problem of finding the distribution of the shortest path length through a stochastic network is ...
AbstractThis paper addresses the problem of finding reliable a priori shortest path to maximize the ...
This paper deals with the search of optimal paths in a multi-stage stochastic decision network as a ...
AbstractCommon network parameters, such as number of nodes and arc lengths are frequently subjected ...
The length of the stochastic shortest path is defined as the arrival probability from a source node ...
This thesis develops methodologies for solving constrained shortest path problems in dynamic and ran...
The dissertation presents algebraic approaches to the shortest path and maximum flow problems in sto...
Caption title. "October 1988."Includes bibliographical references.Supported by the National Science ...
This paper considers a stochastic shortest path problem where the arc lengths are independent random...
A novel path planning approach is presented to solve optimal path in stochastic, time-varying networ...
We consider network optimization problems in which the weights of the edges are random variables. We...
In this invited contribution, we revisit the stochastic shortest path problem, and show how recent r...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
textNetwork Routing problems focus on exploiting the network-based struc- ture of a mathematical op...