This paper presents a distributed approach to parallelise Genetic Programming on the Internet. The motivation for the approach is to harness the wealth of computing resources available on the Internet to provide the computing power required for solving difficult problems. A distributed genetic programming system termed DGP is developed in the Java programming language to demonstrate the feasibility of distributing genetic programming on the Internet. Unique features of the DGP system include the use of Java Servlets to handle the communication between DGP clients, the use of a population pool to neutralise differences in speeds of hosts, the interactive user interface and graphical displays of the evolution process. The DGP system has been ...
The aim of this work is distributed genetic algorithm implementation (so called islandalgorithm) to ...
Development of a Web-based application for modeling and calculation of genetic algorithms with advan...
We report on extensions to a Java distributed computation library (JDCL) by Fritsche, Power, and Wal...
We proposed a distributed approach for parallelising Genetic Programming on the Internet. The approa...
A distributed approach for parallelising Genetic Programming (GP) on the Internet is proposed and it...
The success of a genetic programming system in solving a problem is often a function of the availabl...
The success of a genetic programming system in solving a problem is often a function of the availabl...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization meth...
This paper presents a Java based library designed to provide scientists and programmers with a frame...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This paper proposes that a parallel implementa-tion of the genetic algorithm (GA) on the Internet wi...
The aim of this work is distributed genetic algorithm implementation (so called island algorithm) to...
Abstract—In this article, we evaluate the applicability of Genetic Programming (GP) for the evolutio...
Mathematica has proven itself to be a suitable platform on which to develop prototype Genetic Progr...
In this paper, an environment for using genetic programming is presented. Although not restricted to...
The aim of this work is distributed genetic algorithm implementation (so called islandalgorithm) to ...
Development of a Web-based application for modeling and calculation of genetic algorithms with advan...
We report on extensions to a Java distributed computation library (JDCL) by Fritsche, Power, and Wal...
We proposed a distributed approach for parallelising Genetic Programming on the Internet. The approa...
A distributed approach for parallelising Genetic Programming (GP) on the Internet is proposed and it...
The success of a genetic programming system in solving a problem is often a function of the availabl...
The success of a genetic programming system in solving a problem is often a function of the availabl...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization meth...
This paper presents a Java based library designed to provide scientists and programmers with a frame...
Distributed systems are one of the most vital components of the economy. The most promi-nent example...
This paper proposes that a parallel implementa-tion of the genetic algorithm (GA) on the Internet wi...
The aim of this work is distributed genetic algorithm implementation (so called island algorithm) to...
Abstract—In this article, we evaluate the applicability of Genetic Programming (GP) for the evolutio...
Mathematica has proven itself to be a suitable platform on which to develop prototype Genetic Progr...
In this paper, an environment for using genetic programming is presented. Although not restricted to...
The aim of this work is distributed genetic algorithm implementation (so called islandalgorithm) to ...
Development of a Web-based application for modeling and calculation of genetic algorithms with advan...
We report on extensions to a Java distributed computation library (JDCL) by Fritsche, Power, and Wal...