Abstract. By the use of the GRIBB software for distributed computing across the Internet, we are investigating the obstacles and the potential for efficient parallelization of Branch and Bound algorithms. Experiments have been carried out using two different applications, i.e. the Quadratic Assignment Problem (QAP) and the Traveling Salesman Problem (TSP). The results confirm the potential of the approach, and underline the requirements of the problem, algorithm and architecture for the approach to be successful.
Branch and Bound (BB) algorithms are a generalization of many search algorithms used in Artificial I...
In this report, we propose new concurrent data structures and load balancing strategies for Branch-a...
AbstractWe propose a parallel branch and bound algorithm for the quadratic assignment problem; this ...
This paper is the first to present a parallelization of a highly efficient best-first branch-and-bou...
This paper is the first to present a parallelization of a higly efficient best-first branch-and-boun...
The mapping of Branch and Bound (BB) algorithms on Distributed Memory Multiprocessors (DMMs) is cons...
Branch-and-Bound is a strategy widely used to find optimal solutions for hard combinatorial optimisa...
[[abstract]]The branch & bound is an important design strategy of algorithm to solve NP-complete com...
AbstractWe propose a parallel branch and bound algorithm for the quadratic assignment problem; this ...
In the last years, many advanced in the exact resolution of difficult optimisation problems were rec...
The branch-and-bound technique is a common method for finding exact solutions to difficult problems...
The branch-and-bound technique is a common method for finding exact solutions to difficult problems...
textabstractMany (parallel) branch and bound algorithms look very different from each other at first...
The solution of large combinatorial optimization problems is becoming increasingly important in dive...
The traveling salesman problem (TSP) is a problem in computer science that has been extensively stud...
Branch and Bound (BB) algorithms are a generalization of many search algorithms used in Artificial I...
In this report, we propose new concurrent data structures and load balancing strategies for Branch-a...
AbstractWe propose a parallel branch and bound algorithm for the quadratic assignment problem; this ...
This paper is the first to present a parallelization of a highly efficient best-first branch-and-bou...
This paper is the first to present a parallelization of a higly efficient best-first branch-and-boun...
The mapping of Branch and Bound (BB) algorithms on Distributed Memory Multiprocessors (DMMs) is cons...
Branch-and-Bound is a strategy widely used to find optimal solutions for hard combinatorial optimisa...
[[abstract]]The branch & bound is an important design strategy of algorithm to solve NP-complete com...
AbstractWe propose a parallel branch and bound algorithm for the quadratic assignment problem; this ...
In the last years, many advanced in the exact resolution of difficult optimisation problems were rec...
The branch-and-bound technique is a common method for finding exact solutions to difficult problems...
The branch-and-bound technique is a common method for finding exact solutions to difficult problems...
textabstractMany (parallel) branch and bound algorithms look very different from each other at first...
The solution of large combinatorial optimization problems is becoming increasingly important in dive...
The traveling salesman problem (TSP) is a problem in computer science that has been extensively stud...
Branch and Bound (BB) algorithms are a generalization of many search algorithms used in Artificial I...
In this report, we propose new concurrent data structures and load balancing strategies for Branch-a...
AbstractWe propose a parallel branch and bound algorithm for the quadratic assignment problem; this ...