This paper presents a Java based library designed to provide scientists and programmers with a framework, which makes it easy to implement and simulate genetic algorithms. Library's programming interfaces and implementation requirements are introduced. Further we describe the usage of the provided command-line interface and graphical user interface for universal simulator. Three sample problem implementations from the biological and optimization fields are reviewed. Moreover, we consider possible directions for extending the library
Traditional genetic programming (GP) is typically not used to perform unrestricted evolution on enti...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization meth...
A distributed approach for parallelising Genetic Programming (GP) on the Internet is proposed and it...
This paper presents a distributed approach to parallelise Genetic Programming on the Internet. The m...
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte c...
We proposed a distributed approach for parallelising Genetic Programming on the Internet. The approa...
This Master´s thesis implements computer program in Java, useful for automatic model generating, spe...
Abstract. This paper proposes the Java Evolutionary Computation Li-brary (JECoLi), an adaptable, fle...
Stack-based genetic programming uses variable length, linear programs executing on a virtual stack m...
Genetic algorithms is a method of optimization that can be used tosolve many different kinds of prob...
Genetic algorithms are a powerful tool for solving search and optimization problems. We examine the ...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
We present locoGP, a Genetic Programming (GP) system written in Java for evolving Java source code. ...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper contains information on both the development of this system as i well as using it to str...
Traditional genetic programming (GP) is typically not used to perform unrestricted evolution on enti...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization meth...
A distributed approach for parallelising Genetic Programming (GP) on the Internet is proposed and it...
This paper presents a distributed approach to parallelise Genetic Programming on the Internet. The m...
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte c...
We proposed a distributed approach for parallelising Genetic Programming on the Internet. The approa...
This Master´s thesis implements computer program in Java, useful for automatic model generating, spe...
Abstract. This paper proposes the Java Evolutionary Computation Li-brary (JECoLi), an adaptable, fle...
Stack-based genetic programming uses variable length, linear programs executing on a virtual stack m...
Genetic algorithms is a method of optimization that can be used tosolve many different kinds of prob...
Genetic algorithms are a powerful tool for solving search and optimization problems. We examine the ...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
We present locoGP, a Genetic Programming (GP) system written in Java for evolving Java source code. ...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
This paper contains information on both the development of this system as i well as using it to str...
Traditional genetic programming (GP) is typically not used to perform unrestricted evolution on enti...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization meth...
A distributed approach for parallelising Genetic Programming (GP) on the Internet is proposed and it...