Add to ORKGWe propose to study different communication models of a parallel genetic algorithm. The specific algorithm is a parallel asynchronous cellular genetic algorithm targeted at multi-core architectures. The models considered are a fine-grain communication based on POSIX locks, a coarse-grain communications (islands), and a fine-grain communication similar to the first one but without protecting access to shared memory. This study applies the different models to well known test problems
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) kno...
An architecture of a distributed parallel genetic algorithm was developed to improve computing resou...
This paper examines the effects of relaxed synchronization on both the numerical and parallel effici...
We propose to study different communication models of a parallel genetic algorithm. The specific alg...
A new parallel implementation of genetic programming based on the cellular model is presented and co...
We propose a new parallel asynchronous cellular ge-netic algorithm for multi-core processors. The al...
This paper proposes an improvement of interprocessor communication in a parallel genetic algorithm m...
This work consists of an investigation about the application of parallel computing techniques to bio...
This paper describes and verifies a convergence model that allows the islands in a parallel genetic ...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our mo-tiva...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our motivat...
Parallel genetic algorithms (PGAs) have been traditionally used to extend the power of serial geneti...
Abstract — In this paper, a parallel model of multi-objective genetic algorithm supposing a grid env...
Membrane computing is a branch of natural computing. Several studies have recently attempted to util...
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) kno...
An architecture of a distributed parallel genetic algorithm was developed to improve computing resou...
This paper examines the effects of relaxed synchronization on both the numerical and parallel effici...
We propose to study different communication models of a parallel genetic algorithm. The specific alg...
A new parallel implementation of genetic programming based on the cellular model is presented and co...
We propose a new parallel asynchronous cellular ge-netic algorithm for multi-core processors. The al...
This paper proposes an improvement of interprocessor communication in a parallel genetic algorithm m...
This work consists of an investigation about the application of parallel computing techniques to bio...
This paper describes and verifies a convergence model that allows the islands in a parallel genetic ...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our mo-tiva...
In this paper we develop a study on several types of parallel genetic algorithms (PGAs). Our motivat...
Parallel genetic algorithms (PGAs) have been traditionally used to extend the power of serial geneti...
Abstract — In this paper, a parallel model of multi-objective genetic algorithm supposing a grid env...
Membrane computing is a branch of natural computing. Several studies have recently attempted to util...
In this paper we address the physical parallelization of a very efficient genetic algorithm (GA) kno...
An architecture of a distributed parallel genetic algorithm was developed to improve computing resou...
This paper examines the effects of relaxed synchronization on both the numerical and parallel effici...