AbstractWhen vehicle routing problems with additional constraints, such as capacity or time windows, are solved via column generation and branch-and-price, it is common that the pricing subproblem requires the computation of a minimum cost constrained path on a graph with costs on the arcs and prizes on the vertices. A common solution technique for this problem is dynamic programming. In this paper we illustrate how the basic dynamic programming algorithm can be improved by bounded bi-directional search and we experimentally evaluate the effectiveness of the enhancement proposed. We consider as benchmark problems the elementary shortest path problems arising as pricing subproblems in branch-and-price algorithms for the capacitated vehicle r...
National audienceThe elementary shortest path problem with resource constraints (ESPPRC) often appea...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
When vehicle routing problems with additional constraints, such as capacity or time windows, are sol...
When vehicle routing problems with additional constraints, such as capacity or time windows, are sol...
AbstractWhen vehicle routing problems with additional constraints, such as capacity or time windows,...
The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in...
Column generation is a well-known mathematical programming technique based on two compo-nents: a mas...
We investigate a vehicle routing problem with time windows (VRPTW), where the drivers are paid per t...
The Resource Constrained Shortest Path Problem (RCSPP) often arises as a subproblem when decompositi...
We present an optimization algorithm developed for a provider of software planning tools for distrib...
International audienceWe investigate the vehicle routing with demand allocation problem where the de...
Besides their real-life applications, elementary shortest path problems with resource constraints ar...
International audienceColumn generation algorithms where the pricing is solved as a resource constra...
We present an optimization algorithm we developed for a software provider of planning tools for dist...
National audienceThe elementary shortest path problem with resource constraints (ESPPRC) often appea...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...
When vehicle routing problems with additional constraints, such as capacity or time windows, are sol...
When vehicle routing problems with additional constraints, such as capacity or time windows, are sol...
AbstractWhen vehicle routing problems with additional constraints, such as capacity or time windows,...
The resource constrained elementary shortest path problem (RCESPP) arises as a pricing subproblem in...
Column generation is a well-known mathematical programming technique based on two compo-nents: a mas...
We investigate a vehicle routing problem with time windows (VRPTW), where the drivers are paid per t...
The Resource Constrained Shortest Path Problem (RCSPP) often arises as a subproblem when decompositi...
We present an optimization algorithm developed for a provider of software planning tools for distrib...
International audienceWe investigate the vehicle routing with demand allocation problem where the de...
Besides their real-life applications, elementary shortest path problems with resource constraints ar...
International audienceColumn generation algorithms where the pricing is solved as a resource constra...
We present an optimization algorithm we developed for a software provider of planning tools for dist...
National audienceThe elementary shortest path problem with resource constraints (ESPPRC) often appea...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Dynamic programming (DP) is a fundamental tool used to obtain exact, optimal solutions for many comb...