Abstract:- This paper presents the evaluation and fine-tuning of different values of genetic operators in the process of optimizing the designs of the integrated circuits. Due to the increasing usage of the evolutionary optimization in the area of the integrated circuit design, there is a need to find a proper combination of genetic operators parameters ’ value. We investigated the interdependence of various values of these parameters and their influence on the quality of the final solution. Generally, the quality of solution is influenced by parameters and the input design. Therefore, it is important to perform this kind of evaluation each time we are searching the optimal values of the genetic operators for some new problem to be solved. ...
Genetic algorithms (GA) have several important features that predestine them to solve design problem...
This paper aims at addressing a particular aspect of multiobjective optimization problems in Electro...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...
This paper covers the evaluation and fine-tuning of different values of genetic operator’s parameter...
This project deals with combinational digital circuits and their optimization. First there are prese...
Genetic Algorithms are search oriented empirical techniques, which are derived from the Theory of Na...
Abstract. Evolutionary computing and algorithms are well known tools of optimisation that are utiliz...
Includes bibliographical references (pages [56]-58)Recent advances in computer capabilities have eli...
The thesis compares two different approaches to combinational circuit encoding for automated circuit...
AbstractWhen Genetic Algorithms (GA) are used to solve layout problems, the solution quality may be ...
The thesis deals the issue of solution of continuous systems by evolutionary computational technique...
The objective of this paper is to propose a genetic algorithm (GA) scheme that works well in a spect...
This paper focuses on electronic design at circuit level. The use of evolutionary algorithms to this...
Decision making features occur in all fields of human activities such as science and technological a...
Abstract: Time as a constraint finding the optimal solution of scheduling in High level synthesis us...
Genetic algorithms (GA) have several important features that predestine them to solve design problem...
This paper aims at addressing a particular aspect of multiobjective optimization problems in Electro...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...
This paper covers the evaluation and fine-tuning of different values of genetic operator’s parameter...
This project deals with combinational digital circuits and their optimization. First there are prese...
Genetic Algorithms are search oriented empirical techniques, which are derived from the Theory of Na...
Abstract. Evolutionary computing and algorithms are well known tools of optimisation that are utiliz...
Includes bibliographical references (pages [56]-58)Recent advances in computer capabilities have eli...
The thesis compares two different approaches to combinational circuit encoding for automated circuit...
AbstractWhen Genetic Algorithms (GA) are used to solve layout problems, the solution quality may be ...
The thesis deals the issue of solution of continuous systems by evolutionary computational technique...
The objective of this paper is to propose a genetic algorithm (GA) scheme that works well in a spect...
This paper focuses on electronic design at circuit level. The use of evolutionary algorithms to this...
Decision making features occur in all fields of human activities such as science and technological a...
Abstract: Time as a constraint finding the optimal solution of scheduling in High level synthesis us...
Genetic algorithms (GA) have several important features that predestine them to solve design problem...
This paper aims at addressing a particular aspect of multiobjective optimization problems in Electro...
Abstract:- Several Evolutionary Algorithms (EAs) are applied in the design and optimization of digit...