National Repository of Grey Literature 45 records found  beginprevious21 - 30nextend  jump to record: Search took 0.00 seconds. 
Application of ACO to simple subsitution ciphers
Turek, Luboš ; Tůma, Jiří (advisor) ; Surynek, Pavel (referee)
Název práce: Použití ACO algoritmu na řešení jednoduché substituční šifry Autor: Luboš Turek Katedra (ústav): Katedra algebry Vedoucí bakalářské práce: doc. RNDr. Jiří Tůma, DrSc. e-mail vedoucího: jiri.tuma@mff.cuni.cz Abstrakt: V předložené práci studujeme kombinatorickou metaheuristiku Ant Colony Optimization a zkoumáme možné způsoby jejího použití k pro- lomení jednoduché substituční šifry. Součástí práce je návrh a implementace programu. Tento program je srovnán s genetickým algoritmem. Klíčová slova: jednoduchá substituční šifra, ant colony optimization, ACO, kryptologie, kryptografie Title: Application of ACO to simple subsitution ciphers Author: Luboš Turek Department: Department of Algebra Supervisor: doc. RNDr. Jiří Tůma, DrSc. Supervisor's e-mail address: jiri.tuma@mff.cuni.cz Abstract: In the present work we study combinatorial metaheuristic Ant Colony Optimization and we search for its application to the problem of cracking simple subtitution cipher. Functional implementation is a part of the thesis. The program is compared to genetic algorithm. Keywords: simple substitution cipher, ant colony optimization, ACO, cryp- tology, cryptography 6
Application of ACO to simple subsitution ciphers
Turek, Luboš ; Tůma, Jiří (advisor) ; Holub, Štěpán (referee)
Název práce: Použití ACO algoritmu na řešení jednoduché substituční šifry Autor: Luboš Turek Katedra (ústav): Katedra algebry Vedoucí bakalářské práce: doc. RNDr. Jiří Tůma, DrSc. e-mail vedoucího: jiri.tuma@mff.cuni.cz Abstrakt: V předložené práci studujeme kombinatorickou metaheuristiku Ant Colony Optimization a zkoumáme možné způsoby jejího použití k pro- lomení jednoduché substituční šifry. Součástí práce je návrh a implementace programu. Klíčová slova: jednoduchá substituční šifra, ant colony optimization, ACO, kryptologie, kryptografie Title: Application of ACO to simple subsitution ciphers Author: Luboš Turek Department: Department of Algebra Supervisor: doc. RNDr. Jiří Tůma, DrSc. Supervisor's e-mail address: jiri.tuma@mff.cuni.cz Abstract: In the present work we study combinatorial metaheuristic Ant Colony Optimization and we search for its application to the problem of cracking simple subtitution cipher. Functional implementation is a part of the thesis. Keywords: simple substitution cipher, ant colony optimization, ACO, cryp- tology, cryptography 5
Ant Colony Optimization for Image Processing
Prášek, Matěj ; Jaroš, Jiří (referee) ; Bidlo, Michal (advisor)
This bachelor thesis is focused to edge detection using the Ant Colony Optimization algorithm. I focus on noise reduction, searching for isolated edges and finding optimal parameters for the majority of pictures.
Ant Colony Optimization for Solving Big Instances of TSP
Ramosová, Patrícia ; Jaroš, Jiří (referee) ; Bidlo, Michal (advisor)
Currently, many applications place emphasis on finding the optimal solution to a particular problem. However, it is typical for some tasks that their complexity increases exponentially depending on the size of the instance. A typical example of such a problem is the Traveling Salesman Problem (TSP). One class of methods that have proven to be very helpful in solving TSPs are ant algorithms. Nonetheless, they reached their limit - a high number of cities in the instance and became almost unusable due to time and memory requirements. This bachelor thesis aims to modify the ant algorithm and create a system capable of quickly and efficiently solve large-scale TSPs without significant loss in the quality of the solution found. Optimization will focus on reducing memory complexity and total execution time.
Large-Scale Travelling Salesman Problem
Kukula, Lukáš ; Žaloudek, Luděk (referee) ; Bartoš, Pavel (advisor)
Thesis deals with solving large-scale traveling salesman problem. The aim is to find the best possible solution within a short time. Most widely used heuristics was compared and most efficient proved to be Lin-Kernighan. This heuristic combined with the stochastic algorithm brings even better results than the Lin-Kernighan heuristic itself.
Implementation of the Vehicle Routing Problem Using the Algorithm of Ant Colonies and Particle Swarms
Hanek, Petr ; Kubánková, Anna (referee) ; Šeda, Pavel (advisor)
This diploma thesis focuses on meta-heuristic algorithms and their ability to solve difficult optimization problems in polynomial time. The thesis describes different kinds of meta-heuristic algorithms such as genetic algorithm, particle swarm optimization or ant colony optimization. The implemented application was written in Java and contains ant colony optimization for capacitated vehicle routing problem and particle swarm optimization which finds the best possible parameters for ant colonies.
Applications of Ant Algorithms
Kaščák, Imrich ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
The presented thesis focuses on the basic optimization algorithm of Ant Colony Optimization (ACO) - Ant System (AS) and its extension, Ant Colony System (ACS) on Traveling Salesman Problem (TSP). The essence of these algorithms is to find the optimal solution (the shortest path) in a specified instance containing several locations. The thesis demonstrates verification of behaviour of both algorithms, experimental study of impact of adjustable parameters of ant algorithms on result. Furthermore, the thesis is focused on examining the idea of optimizing detection of image edges by introducing a modification into an existing solution. Modified solution experiments are performed and compared to the original.
Novel Applications of Ant Algorithms
Korgo, Jakub ; Drábek, Vladimír (referee) ; Bidlo, Michal (advisor)
Ant algorithms have been used for a variety of combinatorial optimization problems. One of these problems, where ant algorithms haven't been used, is the design of transition rules for cellular automata (CA). Which is a problem that this master's thesis is focused on. This work begins with an introduction into ant algorithms and a overview of its applications, followed by an introduction into CA. In the next part the author proposes a way how to encode rules of CA into a graph which is used in ant algorithms. The last part of this thesis contains an application of encoded graph on elitist ant system and MAX-MIN ant system. This is followed by experimental results of creating transition rules for CA problems by these algorithms.
Visualisation of adaptive ant colony optimization algorithm
Tichý, Vojtěch ; Kumpán, Pavel (referee) ; Appel, Martin (advisor)
Bachelor thesis was dealing with programming and creating model for education and understanding of Ant Colony Optimization functioning, which was modified to be able to adapt on the change of terrain. Thesis was further focused on comparing several optimization methods inspired by nature and demarcation their utilization in practical situations.
Application of ACO to simple subsitution ciphers
Turek, Luboš ; Tůma, Jiří (advisor) ; Holub, Štěpán (referee)
Název práce: Použití ACO algoritmu na řešení jednoduché substituční šifry Autor: Luboš Turek Katedra (ústav): Katedra algebry Vedoucí bakalářské práce: doc. RNDr. Jiří Tůma, DrSc. e-mail vedoucího: jiri.tuma@mff.cuni.cz Abstrakt: V předložené práci studujeme kombinatorickou metaheuristiku Ant Colony Optimization a zkoumáme možné způsoby jejího použití k pro- lomení jednoduché substituční šifry. Součástí práce je návrh a implementace programu. Klíčová slova: jednoduchá substituční šifra, ant colony optimization, ACO, kryptologie, kryptografie Title: Application of ACO to simple subsitution ciphers Author: Luboš Turek Department: Department of Algebra Supervisor: doc. RNDr. Jiří Tůma, DrSc. Supervisor's e-mail address: jiri.tuma@mff.cuni.cz Abstract: In the present work we study combinatorial metaheuristic Ant Colony Optimization and we search for its application to the problem of cracking simple subtitution cipher. Functional implementation is a part of the thesis. Keywords: simple substitution cipher, ant colony optimization, ACO, cryp- tology, cryptography 5

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