In this thesis we will discuss the setting of the parameters of the Max-Min Ant System. In the literature it is possible to find theoretical and practical considerations of these parameters, nevertheless it seems that they have not been studied in a joint manner. We propose a theoretical study of the relationship between them, giving the user some further knowledge at the time of setting the algorithm's parameters and some new idea are proposed. In particular, the number of ants is studied in more detail. Then we will study the settings of the Tmax and Tmin in a way which is diferent from the most commonly used technique, taking in consideration theoretical as well as experimental problems. Finally, some experiments are shown that ...
application/pdfThis paper describes the experimental results for Quadratic Assignment Problem (QAP) ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Ant colony optimization (ACO) has widely been applied to solve combinatorial optimization problems i...
In this thesis we will discuss the setting of the parameters of the Max-Min Ant System. In the lite...
The impact of the values of the most meaningful parameters on the behavior of MAX-MIN Ant System is ...
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking ...
Abstract. The impact of the values of the most meaningful parame-ters on the behavior of MAX–MIN Ant...
In recent years, various metaheuristic approaches have been created to solve quadratic assignment pr...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Ant colony optimization (ACO) performs very well on many hard optimization problems, even though no ...
In this paper we present MAX--MIN Ant System (MMAS) that improves on Ant System. MMAS is a general p...
The focus of this thesis paper is to study the impact the number of ants has on the found solution o...
In this paper, a modified max-min ant system, called dynamic max-min ant system (DMAS) is proposed t...
The file attached to this record is the author's final peer reviewed version.In this paper, the effe...
The influence of the allowed running time on the choice of the parameters of an ant system is invest...
application/pdfThis paper describes the experimental results for Quadratic Assignment Problem (QAP) ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Ant colony optimization (ACO) has widely been applied to solve combinatorial optimization problems i...
In this thesis we will discuss the setting of the parameters of the Max-Min Ant System. In the lite...
The impact of the values of the most meaningful parameters on the behavior of MAX-MIN Ant System is ...
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking ...
Abstract. The impact of the values of the most meaningful parame-ters on the behavior of MAX–MIN Ant...
In recent years, various metaheuristic approaches have been created to solve quadratic assignment pr...
In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stoc...
Ant colony optimization (ACO) performs very well on many hard optimization problems, even though no ...
In this paper we present MAX--MIN Ant System (MMAS) that improves on Ant System. MMAS is a general p...
The focus of this thesis paper is to study the impact the number of ants has on the found solution o...
In this paper, a modified max-min ant system, called dynamic max-min ant system (DMAS) is proposed t...
The file attached to this record is the author's final peer reviewed version.In this paper, the effe...
The influence of the allowed running time on the choice of the parameters of an ant system is invest...
application/pdfThis paper describes the experimental results for Quadratic Assignment Problem (QAP) ...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Ant colony optimization (ACO) has widely been applied to solve combinatorial optimization problems i...