Add to ORKGThe paper presents a coherent approach to solving the problems of computer system synthesis based on genetic methods assisted with simulated annealing strategy. We describe algorithm realizations aimed to optimize resource selection and task scheduling, as well as the adaptation of those algorithms for coherent co-synthesis realization. This is new approach, which we propose call a par-synthesis. We then present selected analytical experiments proving the correctness of the coherent synthesis concept and indicate its practical motivations. Key words
Abstract We introduce a new method of execution for GP-evolved programs consisting of register machi...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named He...
Abstract. In this paper, we consider system-level synthesis as the problem of optimally mapping a ta...
The paper presents an innovative approach to solving the problems of computer system synthesis based...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
In this article a scheduling method is presented which is ca-pable of allocating supplementary resou...
In this paper, we consider system- level synthesis as the problem of optimally mapping a task-level...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
This report studies the problem of automatically selecting a suitable system architecture for implem...
A new optimization technique, called the Genetic Annealing Algorithm (GAA), is proposed in this pape...
In this article constructive scheduling methods combined with genetic algorithms are used to searchf...
Automatic design of software architecture by use of genetic algorithms has already been shown to be ...
Abstract We introduce a new method of execution for GP-evolved programs consisting of register machi...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named He...
Abstract. In this paper, we consider system-level synthesis as the problem of optimally mapping a ta...
The paper presents an innovative approach to solving the problems of computer system synthesis based...
In this work, a genetic programming methodology for co-synthesis of multiprocessor systems is presen...
In this paper we present a novel developmental genetic programming methodology for co-synthesis of d...
In this paper, we present a hardware-software co-synthesis system, called MOGAC, that partitions and...
In this article a scheduling method is presented which is ca-pable of allocating supplementary resou...
In this paper, we consider system- level synthesis as the problem of optimally mapping a task-level...
The paper presents a novel adaptive genetic programming based iterative improvement algorithm for ha...
This report studies the problem of automatically selecting a suitable system architecture for implem...
A new optimization technique, called the Genetic Annealing Algorithm (GAA), is proposed in this pape...
In this article constructive scheduling methods combined with genetic algorithms are used to searchf...
Automatic design of software architecture by use of genetic algorithms has already been shown to be ...
Abstract We introduce a new method of execution for GP-evolved programs consisting of register machi...
The parallel genetic algorithms implementation for neural networks models construction is discussed....
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named He...