In this work we present a constructive genetic programming method with penalty function for hw/sw cosynthesis of embedded systems. The genotype is a tree which contains in its nodes system construction options. Unlike existing solutions in this approach individuals which violate time constrains are investigated during evolution process. Therefore the algorithm is even more able to escape local minima of optimizing parameters
This paper introduces the notion of using co-evolution to adapt the penalty factors of a fitness fun...
Evolutionary algorithms have been gaining increased attention the past few years because of their ve...
Abstract: Genetic programming (GP) is an automated method for creating a working computer program ...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this work, a novel adaptive approach to co-design of embedded systems is presented. The approach ...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
[[abstract]]Genetic algorithm is a novel optimization technique for solving constrained optimization...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
The main goal of the work is to introduce new ideas how traditional approaches for designing an oper...
The thesis deals the issue of solution of continuous systems by evolutionary computational technique...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
Abstract We propose to utilize a formal verification algorithm to reduce the fitness evaluation time...
Genetic Programming (GP) is a technique which uses an evolutionary metaphor to automatically generat...
This paper introduces the notion of using co-evolution to adapt the penalty factors of a fitness fun...
Evolutionary algorithms have been gaining increased attention the past few years because of their ve...
Abstract: Genetic programming (GP) is an automated method for creating a working computer program ...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this work, a novel adaptive approach to co-design of embedded systems is presented. The approach ...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
[[abstract]]Genetic algorithm is a novel optimization technique for solving constrained optimization...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
The main goal of the work is to introduce new ideas how traditional approaches for designing an oper...
The thesis deals the issue of solution of continuous systems by evolutionary computational technique...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
Abstract We propose to utilize a formal verification algorithm to reduce the fitness evaluation time...
Genetic Programming (GP) is a technique which uses an evolutionary metaphor to automatically generat...
This paper introduces the notion of using co-evolution to adapt the penalty factors of a fitness fun...
Evolutionary algorithms have been gaining increased attention the past few years because of their ve...
Abstract: Genetic programming (GP) is an automated method for creating a working computer program ...