Add to ORKGgenetic algorithms (GA) (Eiben & Smith, 2003) consisting of local refinement to geneti
In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and t...
Abstract — We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in wh...
Abstract: Genetic Algorithm (GA) is a directed random search technique working on a population of so...
[[abstract]]A novel hardware architecture for memetic vector quantizer (VQ) design is presented in t...
[[abstract]]The objective of this project is to present novel VLSI architectures for genetic optimiz...
[[abstract]]This paper presents a novel hardware architecture for memetic vector quantizer (VQ) desi...
[[abstract]]A novel parallel memetic algorithm (MA) architecture for the design of vector quantizers...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
Genetic Algorithms (GA) are a class of stochastic optimization algorithms based on natural evolution...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and t...
Abstract — We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in wh...
Abstract: Genetic Algorithm (GA) is a directed random search technique working on a population of so...
[[abstract]]A novel hardware architecture for memetic vector quantizer (VQ) design is presented in t...
[[abstract]]The objective of this project is to present novel VLSI architectures for genetic optimiz...
[[abstract]]This paper presents a novel hardware architecture for memetic vector quantizer (VQ) desi...
[[abstract]]A novel parallel memetic algorithm (MA) architecture for the design of vector quantizers...
Rapid advances in integration technology have tremendously increased the design complexity of very l...
This paper presents a novel genetic algorithm, termed the Optimum Individual Monogenetic Algorithm (...
Genetic Algorithms (GA) are a class of stochastic optimization algorithms based on natural evolution...
A genetic algorithm (GA) is an optimization method based on natural selection. Genetic algorithms ha...
Summarization: This paper presents the implementation of a Genetic Algorithm on a XUPV2P platform wi...
A new genetic algorithm, termed the 'optimum individual monogenetic genetic algorithm' (OIMGA), is p...
This paper propose a Virtual-Field Programmable Gate Array (V-FPGA) architecture that allows direct ...
Genetic algorithm (GA) is a directed random search technique working on a population of solutions a...
In Vector Quantization (VQ), minimization of Mean Square Error (MSE) between code book vectors and t...
Abstract — We have developed a new GA hardware called GAA-I (Genetic Algorithm Accelerator-I), in wh...
Abstract: Genetic Algorithm (GA) is a directed random search technique working on a population of so...