Abstract — We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in which the crossover operator to be applied to each individual was dynamically selected during the algorithm execution. GAA-I has some restrictions due to the limited chip size. In this paper, we extend the GAA-I and propose a new GA hardware, GAA-II, so that large, complex opti-mization problems can be solved. Furthermore, GAA-II has capa-bility of parallel processing with other GAA-II chips. The GAA-II chip has been fabricated as a CMOS standard cell chip with 0.6 m technology. I
Genetic Algorithms (GAs) are commonly used search algorithms and there is an incentive in accelerate...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
A genetic algorithm (GA) is a robust problem-solving method based on natural selection. Hardware\u27...
Genetic Algorithms (GA) are a class of stochastic optimization algorithms based on natural evolution...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
[[abstract]]The objective of this project is to present novel VLSI architectures for genetic optimiz...
[[abstract]]A genetic algorithm (GA) can find an optimal solution in many complex problems. GAs have...
FCCM 2006 : 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines , Apr 24-26, ...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Abstract: Genetic Algorithm (GA) is a directed random search technique working on a population of so...
This paper proposes a hardware realization of the crossover module in the genetic algorithm for the ...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
Genetic Algorithms (GAs) are commonly used search algorithms and there is an incentive in accelerate...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
A genetic algorithm (GA) is a robust problem-solving method based on natural selection. Hardware\u27...
Genetic Algorithms (GA) are a class of stochastic optimization algorithms based on natural evolution...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
[[abstract]]The objective of this project is to present novel VLSI architectures for genetic optimiz...
[[abstract]]A genetic algorithm (GA) can find an optimal solution in many complex problems. GAs have...
FCCM 2006 : 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines , Apr 24-26, ...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Abstract: Genetic Algorithm (GA) is a directed random search technique working on a population of so...
This paper proposes a hardware realization of the crossover module in the genetic algorithm for the ...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
Genetic Algorithms (GAs) are commonly used search algorithms and there is an incentive in accelerate...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
A genetic algorithm (GA) is a robust problem-solving method based on natural selection. Hardware\u27...