A new method for solving some hard combinatorial optimization problems is suggested, admitting a certain reformulation. Considering such a problem, several different similar problems are prepared which have the same set of solutions. They are solved on computer in parallel until one of them will be solved, and that solution is accepted. Notwithstanding the evident overhead, the whole run-time could be significantly reduced due to dispersion of velocities of combinatorial search in regarded cases. The efficiency of this approach is investigated on the concrete problem of finding short solutions of non-deterministic system of linear logical equations
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
A key strategy for speeding up computation is to run in paral-lel on multiple cores. However, on har...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
Parallel computation offers the promise of great improvements in the solution of problems that, if w...
In this paper, we review parallel search techniques for approximating the global optimal solution of...
Parallel processing is one of the most active research areas these days. We are interested in one as...
The search for solutions in a combinatorially large problem space is a major problem in artificial i...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
This paper presents an algorithm which realizes fast search for the solutions of combinatorial optim...
Combinatorial Optimization is becoming ever more crucial, in these days. From natural sciences to ec...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
A key strategy for speeding up computation is to run in paral-lel on multiple cores. However, on har...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
Parallel computation offers the promise of great improvements in the solution of problems that, if w...
In this paper, we review parallel search techniques for approximating the global optimal solution of...
Parallel processing is one of the most active research areas these days. We are interested in one as...
The search for solutions in a combinatorially large problem space is a major problem in artificial i...
AbstractThis is a tutorial introduction to the literature on parallel computers and algorithms that ...
This paper presents an algorithm which realizes fast search for the solutions of combinatorial optim...
Combinatorial Optimization is becoming ever more crucial, in these days. From natural sciences to ec...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
Discrete combinatorial optimization problems are ubiquitous in modern civilization. Unfortunately th...
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the...
This talk will present a tutorial on the implementation and use of metaheuristics and approximation ...
A key strategy for speeding up computation is to run in paral-lel on multiple cores. However, on har...