In this work, a novel adaptive approach to co-design of embedded systems is presented. The approach is based on developmental genetic programming. Unlike most of existing algorithms, presented methodology involves evolving co-synthesis process, not the system architecture directly. Genotype is a tree which nodes include system construction options. The system can adapt to the environment by increasing chromosomes which give better results in each situations. Half of the next populations is created using genetic operators (crossover, mutation, reproduction). Second half is obtained by generating additional solutions but with different probability of the options
Heterogeneous multiprocessor platforms are becoming widespread in the embedded system domain, mainly...
This project deals with combinational digital circuits and their optimization. First there are prese...
the date of receipt and acceptance should be inserted later Abstract One of the most common problems...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this work we present a constructive genetic programming method with penalty function for hw/sw co...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This master's thesis deals with evolutionary algorithms and how them to use to design of combination...
Abstract. Evolutionary hardware design reveals the potential to provide autonomous systems with self...
This paper presents a dynamic adaptation scheme for the frequency of inter-deme migration in distrib...
This thesis reports research into the hardware implementation of Genetic Algorithms and engineering ...
The main goal of the work is to introduce new ideas how traditional approaches for designing an oper...
Heterogeneous multiprocessor platforms are becoming widespread in the embedded system domain, mainly...
This project deals with combinational digital circuits and their optimization. First there are prese...
the date of receipt and acceptance should be inserted later Abstract One of the most common problems...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this work we present a constructive genetic programming method with penalty function for hw/sw co...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This master's thesis deals with evolutionary algorithms and how them to use to design of combination...
Abstract. Evolutionary hardware design reveals the potential to provide autonomous systems with self...
This paper presents a dynamic adaptation scheme for the frequency of inter-deme migration in distrib...
This thesis reports research into the hardware implementation of Genetic Algorithms and engineering ...
The main goal of the work is to introduce new ideas how traditional approaches for designing an oper...
Heterogeneous multiprocessor platforms are becoming widespread in the embedded system domain, mainly...
This project deals with combinational digital circuits and their optimization. First there are prese...
the date of receipt and acceptance should be inserted later Abstract One of the most common problems...