The aim of this master's theses it to focuse on the usage of genetic algorithms in combination with a technique of biologically inspired development in cellular automata. The principles of the proposed method is described. The main part of this work deals with the design of combinational logic circuits. The genetic algorithm is utilized to design a nonuniform one-dimensional cellular automaton (in particular, the local transition functions) which serves as a circuit generator. Experiments have been conducted to design of basic types of combinational circuits and polymorphic circuits. Finally, the results are presented and compared with the results obtained in the previous work in which a uniform cellular automaton was applied
Cellular automata are dynamical systems in which time and space are discrete. A cellular automaton c...
Celular automata are one of many alternative models of computation. Massive parallelism and the posi...
Cellular automata are used in many fields to generate a global behavior with local rules. Finding th...
The aim of this master thesis is to introduce a new technique for the design of cellular automata wh...
This bachelor’s thesis aims to examine possibilities of designing a transition function enabli...
Abstract. Cellular automata-based evolutionary development is pre-sented for the design of single-fu...
The emergence of collision based computing in complex systems with local interactions is discussed. ...
This paper introduces a method of encoding cellular automata local transition function using an inst...
The aim of this paper is to introduce the readers to the field of cellular automata, their design an...
Abstract. This paper presents an evolutionary approach for the search for new complex cellular autom...
Focus of this master's thesis is on evolutionary design of cellular automata and it's optimalization...
This thesis deals with the utilization of evolutionary techniques to find such environment character...
There have been increased activities in the study of genetic algorithms (GA) for problems of design ...
The goal of this master thesis is to examine possibilities of realizing comptutational structures in...
This project deals with combinational digital circuits and their optimization. First there are prese...
Cellular automata are dynamical systems in which time and space are discrete. A cellular automaton c...
Celular automata are one of many alternative models of computation. Massive parallelism and the posi...
Cellular automata are used in many fields to generate a global behavior with local rules. Finding th...
The aim of this master thesis is to introduce a new technique for the design of cellular automata wh...
This bachelor’s thesis aims to examine possibilities of designing a transition function enabli...
Abstract. Cellular automata-based evolutionary development is pre-sented for the design of single-fu...
The emergence of collision based computing in complex systems with local interactions is discussed. ...
This paper introduces a method of encoding cellular automata local transition function using an inst...
The aim of this paper is to introduce the readers to the field of cellular automata, their design an...
Abstract. This paper presents an evolutionary approach for the search for new complex cellular autom...
Focus of this master's thesis is on evolutionary design of cellular automata and it's optimalization...
This thesis deals with the utilization of evolutionary techniques to find such environment character...
There have been increased activities in the study of genetic algorithms (GA) for problems of design ...
The goal of this master thesis is to examine possibilities of realizing comptutational structures in...
This project deals with combinational digital circuits and their optimization. First there are prese...
Cellular automata are dynamical systems in which time and space are discrete. A cellular automaton c...
Celular automata are one of many alternative models of computation. Massive parallelism and the posi...
Cellular automata are used in many fields to generate a global behavior with local rules. Finding th...