This paper presents a dynamic adaptation scheme for the frequency of inter-deme migration in distributed genetic algorithms (GA), and its VLSI hardware design. Distributed GA, or multi-deme-based GA, uses multiple populations which evolve concurrently. The purpose of dynamic adaptation is to improve convergence performance so as to obtain better solutions. Through simulation experiments, we proved that our scheme achieves better performance than fixed frequency migration schemes
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters o...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This paper presents GAP/D, a VLSI implementation of a dynamic adaptation scheme for the frequency of...
migration strategy; Abstract. Genetic Algorithm (GA) is a powe rful global optimization search algo ...
In this paper we evaluates the effectiveness of three different distributed genetic algorithms (DGAs...
This paper discusses the effect of randomization of migration rate in distributed genetic algorithms...
This paper presents a performance study of a parallel, coarse-grained, multiple-deme Genetic Algorit...
This paper aims at defining an adaptive genetic algorithm tailored for the allocation of dynamically...
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in p...
[[abstract]]In this paper, the issue of adapting migration parameters for MGAs is investigated. We e...
Genetic algorithm behavior is determined by the exploration/exploitation balance kept throughout the...
Many distributed systems (task scheduling, moving priorities, changing mobile environments, ...) can...
The genetic algorithm is a general purpose, population-based search algorithm in which the individua...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters o...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters o...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This paper presents GAP/D, a VLSI implementation of a dynamic adaptation scheme for the frequency of...
migration strategy; Abstract. Genetic Algorithm (GA) is a powe rful global optimization search algo ...
In this paper we evaluates the effectiveness of three different distributed genetic algorithms (DGAs...
This paper discusses the effect of randomization of migration rate in distributed genetic algorithms...
This paper presents a performance study of a parallel, coarse-grained, multiple-deme Genetic Algorit...
This paper aims at defining an adaptive genetic algorithm tailored for the allocation of dynamically...
In this paper, the issue of adapting migration parameters for MGAs is investigated. We examine, in p...
[[abstract]]In this paper, the issue of adapting migration parameters for MGAs is investigated. We e...
Genetic algorithm behavior is determined by the exploration/exploitation balance kept throughout the...
Many distributed systems (task scheduling, moving priorities, changing mobile environments, ...) can...
The genetic algorithm is a general purpose, population-based search algorithm in which the individua...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters o...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters...
In this paper, we propose a self Adaptive Migration Model for Genetic Algorithms, where parameters o...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...