Thesis compares serial and parallel methods for solving traveling salesman problem. Some of the well-known heuristics are used. These have been tested for long hours. Time and space complexity are used as comparing measure. It was discovered that small part of ACO source code in parallel is going to speed up the code according to Amdahl's law
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
Abstract. Ant colony optimization algorithm (ACO) is a soft computing metaheuristic that belongs to ...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
Práce porovná sériové a paralelní postupy řešení problému obchodního cestujícího. Používá některé zn...
This thesis is focused on solving the problem of traveling salesman. At first, the problem is solved...
In recent years some comparative studies have explored the use of parallel ant colony optimization (...
Práce se zabývá řešením problému obchodního cestujícího. Problém je řešen nejprve sériovým přístupem...
Guo, W ORCiD: 0000-0002-3134-3327In recent years some comparative studies have explored the use of p...
© 2018, International Association of Computer Science and Information Technology. In recent years so...
In recent years some comparative studies have explored the use of parallel ant colony optimization (...
Abstract: Travelling salesman problem is a NP complete problem and can be solved using approximation...
Part 2: AlgorithmsInternational audienceAnt colony optimization algorithm (ACO) is a soft computing ...
-A teThe Traveling Salesman Problem is solved on the Cm*, a multiprocessor system, using two impleme...
Part 2: AlgorithmsInternational audienceAnt colony optimization algorithm (ACO) is a soft computing ...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
Abstract. Ant colony optimization algorithm (ACO) is a soft computing metaheuristic that belongs to ...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
Práce porovná sériové a paralelní postupy řešení problému obchodního cestujícího. Používá některé zn...
This thesis is focused on solving the problem of traveling salesman. At first, the problem is solved...
In recent years some comparative studies have explored the use of parallel ant colony optimization (...
Práce se zabývá řešením problému obchodního cestujícího. Problém je řešen nejprve sériovým přístupem...
Guo, W ORCiD: 0000-0002-3134-3327In recent years some comparative studies have explored the use of p...
© 2018, International Association of Computer Science and Information Technology. In recent years so...
In recent years some comparative studies have explored the use of parallel ant colony optimization (...
Abstract: Travelling salesman problem is a NP complete problem and can be solved using approximation...
Part 2: AlgorithmsInternational audienceAnt colony optimization algorithm (ACO) is a soft computing ...
-A teThe Traveling Salesman Problem is solved on the Cm*, a multiprocessor system, using two impleme...
Part 2: AlgorithmsInternational audienceAnt colony optimization algorithm (ACO) is a soft computing ...
We analyze the possibility of parallelizing the Traveling Salesman Problem over the MapReduce archit...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...
Abstract. Ant colony optimization algorithm (ACO) is a soft computing metaheuristic that belongs to ...
We consider eight heuristics for constructing approximate solutions to the traveling salesman proble...