In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presented. Genotype is a tree which nodes include system construction procedures. Thus the design methodology is evolving. Next generations are obtained using genetic operators: mutation, reproduction and crossover. Unlike other algorithms in presented methodology number of individuals obtained by mutation operator is not const. Therefore number of individuals in each population is increasing. The size of final generation is found by the algorithm
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
Genetic programming (GP) is a machine learning technique that is based on the evolution of computer ...
A GPU-based Multigroup Genetic Algorithm was proposed, which parallelized the traditional genetic al...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this work, a novel adaptive approach to co-design of embedded systems is presented. The approach ...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this work we present a constructive genetic programming method with penalty function for hw/sw co...
The paper presents a coherent approach to solving the problems of computer system synthesis based on...
Genetic programming is an automatic programming method that creates computer programs to satisfy a s...
We develop a genetic-based approach for system-level architecture synthesis for scheduling, allocati...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper describes the recently developed "genetic programming " paradigm which genetica...
Genetic programming (GP) can be viewed as the use of genetic algorithms (GAs) to evolve computationa...
This master's thesis deals with evolutionary algorithms and how them to use to design of combination...
Many problems do not have a direct solution in the form of a known algorithm or program to solve suc...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
Genetic programming (GP) is a machine learning technique that is based on the evolution of computer ...
A GPU-based Multigroup Genetic Algorithm was proposed, which parallelized the traditional genetic al...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this work, a novel adaptive approach to co-design of embedded systems is presented. The approach ...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this work we present a constructive genetic programming method with penalty function for hw/sw co...
The paper presents a coherent approach to solving the problems of computer system synthesis based on...
Genetic programming is an automatic programming method that creates computer programs to satisfy a s...
We develop a genetic-based approach for system-level architecture synthesis for scheduling, allocati...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper describes the recently developed "genetic programming " paradigm which genetica...
Genetic programming (GP) can be viewed as the use of genetic algorithms (GAs) to evolve computationa...
This master's thesis deals with evolutionary algorithms and how them to use to design of combination...
Many problems do not have a direct solution in the form of a known algorithm or program to solve suc...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
Genetic programming (GP) is a machine learning technique that is based on the evolution of computer ...
A GPU-based Multigroup Genetic Algorithm was proposed, which parallelized the traditional genetic al...