Add to ORKGThe paper presents an innovative approach to solving the problems of computer system synthesis based on ant colony optimization method. We describe algorithm realizations aimed to optimize resource, selection and task scheduling, as well as the adaptation of those algorithms for coherent synthesis realization. We then present selected analytical experiments proving the correctness of the coherent synthesis concept and indicate its practical motivations
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environ...
The paper presents a coherent approach to solving the problems of computer system synthesis based on...
This paper presents the use of Tabu Search algorithm for solving the problems of coherent synthesis ...
Ant colony optimisation is a relatively new meta-heuristic search technique for solving optimisation...
Abstract. In this paper, we consider system-level synthesis as the problem of optimally mapping a ta...
Ant colony algorithms as a category of evolutionary computational intelligence can deal with complex...
Ant colony algorithm is a heuristic algorithm which is　fit for solving complicated combination opt...
This paper presents a new co-operative search approach, the ant colony optimisation paradigm, for th...
The ant algorithms research field builds on the idea that the study of the behavior of ant colonies ...
In this paper, we consider system- level synthesis as the problem of optimally mapping a task-level...
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named He...
[[abstract]]PC clusters have recently received considerable interest as cost-effective parallel plat...
Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real an...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environ...
The paper presents a coherent approach to solving the problems of computer system synthesis based on...
This paper presents the use of Tabu Search algorithm for solving the problems of coherent synthesis ...
Ant colony optimisation is a relatively new meta-heuristic search technique for solving optimisation...
Abstract. In this paper, we consider system-level synthesis as the problem of optimally mapping a ta...
Ant colony algorithms as a category of evolutionary computational intelligence can deal with complex...
Ant colony algorithm is a heuristic algorithm which is　fit for solving complicated combination opt...
This paper presents a new co-operative search approach, the ant colony optimisation paradigm, for th...
The ant algorithms research field builds on the idea that the study of the behavior of ant colonies ...
In this paper, we consider system- level synthesis as the problem of optimally mapping a task-level...
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named He...
[[abstract]]PC clusters have recently received considerable interest as cost-effective parallel plat...
Ant colony algorithms are a class of metaheuristics which are inspired from the behaviour of real an...
The Ant Colony Optimisation algorithm framework here-on referred to as ACO is a new algorithmic fram...
Optimisation, in the mathematical sense, is the process of finding solutions to a problem such that ...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environ...