The task of determining proper configuration of a PC system may be very difficult for a customer having little knowledge about computer hardware components. Also, it becomes more and more difficult even for a specialist, (with time constraints) to determine the proper specification, because the market offers a wide variety of products to choose from. We represented this hardware configuration problem in the form of tree structures, where nodes represent all possible hardware components of a PC system. We then used structured genetic algorithms to solve this multi-level optimization problem. Accordingly, we developed a prototype system called Computer Hardware Designing System and successfully tested it on a number of empirical examples. ©...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
The field of FPGA design is ever-growing due to costs being lower than that of ASICs, as well as the...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
The task of determining proper configuration of a PC system may be very difficult for a customer hav...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
Genetic techniques are applied to the problem of electronic circuit design, with an emphasis on VLSI...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
Electronic Systems are the core of everyday lives. They form an integral part in financial networks,...
The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link ...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Genetic Algorithms are search oriented empirical techniques, which are derived from the Theory of Na...
The goal of this research is to investigate the application of evolutionary search to the process of...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
The field of FPGA design is ever-growing due to costs being lower than that of ASICs, as well as the...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
The task of determining proper configuration of a PC system may be very difficult for a customer hav...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
Genetic techniques are applied to the problem of electronic circuit design, with an emphasis on VLSI...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
Electronic Systems are the core of everyday lives. They form an integral part in financial networks,...
The Processor Configuration Problem (PCP) is a Constraint Optimization Problem. The task is to link ...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Genetic Algorithms are search oriented empirical techniques, which are derived from the Theory of Na...
The goal of this research is to investigate the application of evolutionary search to the process of...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
[[abstract]]The embedded system is primarily designed for a particular piece of equipment and it var...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
The field of FPGA design is ever-growing due to costs being lower than that of ASICs, as well as the...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...