In this paper, we present an approach for parallelizing computation and implementation time for problems where the objective is to complete the solution as soon after receiving the problem instance as possible. We demonstrate the approach on the TSP. We define the TSP race problem, present a computation-implementation parallelized (CIP) approach for solving it, and demonstrate CIP's effectiveness on TSP Race instances. We also demonstrate a method for determining a priori when CIP will be effective. Although in this paper we focus on TSP, our general CIP approach can be effective on other problems and applications with similar time sensitivity
Travelling salesman problem is a well researched problem in computer science and has many practical ...
We prove exponential lower bounds on the running time of many algorithms for Constraint Satisfaction...
This paper describes an algorithm for the scheduling of time-critical rendering and computation task...
In this thesis, we study time-sensitive applications where it is important to minimize the completio...
The cluster systems used today usually prohibit that a running process on one node is reallocated to...
Abstract—The way the processes in a parallel program are scheduled on the processors of a multiproce...
We study the empirical scaling of the running time required by state-of-the-art exact and inexact TS...
We study the empirical scaling of the running time required by state-of-the-art exact and inexact TS...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
In the time-constrained TSP. each city has to be visited within a given time interval Such 'time win...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
The traveling salesman problem (TSP) is a problem in computer science that has been extensively stud...
Metaheuristic is a computational method that brings a problem to the best possible state by iterativ...
Let A be any fixed cut-off restart algorithm running in parallel on multiple processors. If the algo...
Travelling salesman problem is a well researched problem in computer science and has many practical ...
We prove exponential lower bounds on the running time of many algorithms for Constraint Satisfaction...
This paper describes an algorithm for the scheduling of time-critical rendering and computation task...
In this thesis, we study time-sensitive applications where it is important to minimize the completio...
The cluster systems used today usually prohibit that a running process on one node is reallocated to...
Abstract—The way the processes in a parallel program are scheduled on the processors of a multiproce...
We study the empirical scaling of the running time required by state-of-the-art exact and inexact TS...
We study the empirical scaling of the running time required by state-of-the-art exact and inexact TS...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
In the time-constrained TSP. each city has to be visited within a given time interval Such 'time win...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
The traveling salesman problem (TSP) is a problem in computer science that has been extensively stud...
Metaheuristic is a computational method that brings a problem to the best possible state by iterativ...
Let A be any fixed cut-off restart algorithm running in parallel on multiple processors. If the algo...
Travelling salesman problem is a well researched problem in computer science and has many practical ...
We prove exponential lower bounds on the running time of many algorithms for Constraint Satisfaction...
This paper describes an algorithm for the scheduling of time-critical rendering and computation task...