National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Shape Optimization of the Hydraulic Machine Flow Passages
Moravec, Prokop ; Skoták, Aleš (referee) ; Drábková, Sylva (referee) ; Rudolf, Pavel (advisor)
Tato dizertační práce se zabývá vývojem optimalizačního nástroje, který je založen na metodě Particle swarm optimization a je poté aplikován na dva typy oběžných kol radiálních čerpadel.
Toolbox for multi-objective optimization
Marek, Martin ; Hurák,, Zdeněk (referee) ; Kadlec, Petr (advisor)
This paper deals with multi-objective optimization problems (MOOP). It is explained, what solutions in multi-objetive search space are optimal and how are optimal (non-dominated) solutions found in the set of feasible solutions. Afterwards, principles of NSGA-II, MOPSO and GDE3 algorithms are described. In the following chapters, benchmark metrics and problems are introduced. In the last part of this paper, all the three algorithms are compared based on several benchmark metrics.
Shape Optimization of the Hydraulic Machine Flow Passages
Moravec, Prokop ; Skoták, Aleš (referee) ; Drábková, Sylva (referee) ; Rudolf, Pavel (advisor)
Tato dizertační práce se zabývá vývojem optimalizačního nástroje, který je založen na metodě Particle swarm optimization a je poté aplikován na dva typy oběžných kol radiálních čerpadel.
Comparison of Multi-objective Optimization Methods
Marek Martin
This paper deals with comparison of multi-objective optimization methods. Basic properties of multi-objective optimization are explained here. Algorithms NSGA-II, MOPSO and GDE3 are briefly introduced and compared using performance metrics on several test functions.
Toolbox for multi-objective optimization
Marek, Martin ; Hurák,, Zdeněk (referee) ; Kadlec, Petr (advisor)
This paper deals with multi-objective optimization problems (MOOP). It is explained, what solutions in multi-objetive search space are optimal and how are optimal (non-dominated) solutions found in the set of feasible solutions. Afterwards, principles of NSGA-II, MOPSO and GDE3 algorithms are described. In the following chapters, benchmark metrics and problems are introduced. In the last part of this paper, all the three algorithms are compared based on several benchmark metrics.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.