Add to ORKGAbstract. This paper proposes a coprocessor architecture to speed up hardware evolution. It is designed to be implemented in an FPGA with an integrated microprocessor core. The coprocessor resides in the con-figurable logic, it can execute common genetic operators like crossover and mutation with a targeted data throughput of 420 MByte/s. Together with the microprocessor core, a complex evolutionary algorithm can be developed in software, but is processed at the speed of dedicated hard-ware.
Abstract:- Evolvable Hardware is a hardware which modifies its own structure in order to adapt to th...
The application of evolutionary techniques to the design of custom processing elements bears a stron...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
The field of FPGA design is ever-growing due to costs being lower than that of ASICs, as well as the...
Abstract. There have been introduced a number of systems with evolvable hardware on a single chip. T...
Evolvable hardware is a type of hardware that is able to adapt to different problems by going throug...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Evolutionary algorithms are used for solving search and optimization problems. A new field in which ...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
Evolvable hardware allows the generation of circuits that are adapted to specific problems by using ...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
Genetic techniques are applied to the problem of electronic circuit design, with an emphasis on VLSI...
This paper proposes a hardware realization of the crossover module in the genetic algorithm for the ...
There has recently been much research interest in the concept of evolvable hardware —partly due to t...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
Abstract:- Evolvable Hardware is a hardware which modifies its own structure in order to adapt to th...
The application of evolutionary techniques to the design of custom processing elements bears a stron...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
The field of FPGA design is ever-growing due to costs being lower than that of ASICs, as well as the...
Abstract. There have been introduced a number of systems with evolvable hardware on a single chip. T...
Evolvable hardware is a type of hardware that is able to adapt to different problems by going throug...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Evolutionary algorithms are used for solving search and optimization problems. A new field in which ...
Evolvable Hardware is a technique derived from evolutionary computation applied to a hardware design...
Evolvable hardware allows the generation of circuits that are adapted to specific problems by using ...
Genetic algorithm is a soft computing method that works on set of solutions. These solutions are cal...
Genetic techniques are applied to the problem of electronic circuit design, with an emphasis on VLSI...
This paper proposes a hardware realization of the crossover module in the genetic algorithm for the ...
There has recently been much research interest in the concept of evolvable hardware —partly due to t...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
Abstract:- Evolvable Hardware is a hardware which modifies its own structure in order to adapt to th...
The application of evolutionary techniques to the design of custom processing elements bears a stron...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...