Add to ORKGThe paper "Parallel Genetic Algorithms" discusses the theoretical basics of Evolutionary Algorithms concentrating on Genetic Algorithms. Possibilities for a parallelization of these algorithms are examined and explained on the basis of concepts of parallel programming. A concrete suggestion for a practical realization of a parallel Genetic Algorithm at different levels of complexity is presented.Die Studienarbeit zum Thema "Parallele Genetische Algorithmen" befasst sich mit den theoretischen Grundlagen Evolutionärer Algorithmen, wobei die Konzentration bei Genetischen Algorithmen liegt, und untersucht die Möglichkeiten einer parallelen Realisierung dieser Algorithmen. Des weiteren werden Konzepte der Parallelen Programmierung diskutiert sow...
In the recent years we introduced a continuity operator, the "Superindividual", that allows for the ...
A parallel implementation of Genetic Programming using PVM is described. Two different topologies fo...
Most real-life data analysis problems are difficult to solve using exact methods, due to the size of...
The diploma thesis with the subject ¨Parallel Genetic Algorithms with Applications¨ deals with the p...
Genetic algorithms are modern algorithms intended to solve optimization problems. Inspiration origin...
The main goal of this paper is to summarize the previous research on parallel genetic algorithms. We...
The thesis describes design and implementation of various evolutionary algorithms, which were enhanc...
ABSTRACT. Genetic algorithms (GAs) are powerful search techniques that are used success-fully to sol...
Fifteen weeks ago I began to engage in the principles of evolutionary computation. The acquirement o...
Lecture #1: From Evolution Theory to Evolutionary Computation. Evolutionary computation is a subfiel...
Genetic Algorithms contain natural parallelism. There are two main approaches in parallelising GAs. ...
Evolutionary algorithms have been gaining increased attention the past few years because of their ve...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically paral...
In dieser Arbeit sollen kurz die Vorgehensweise und erste Ergebnisse der Parallelisierung eines dis...
In the recent years we introduced a continuity operator, the "Superindividual", that allows for the ...
A parallel implementation of Genetic Programming using PVM is described. Two different topologies fo...
Most real-life data analysis problems are difficult to solve using exact methods, due to the size of...
The diploma thesis with the subject ¨Parallel Genetic Algorithms with Applications¨ deals with the p...
Genetic algorithms are modern algorithms intended to solve optimization problems. Inspiration origin...
The main goal of this paper is to summarize the previous research on parallel genetic algorithms. We...
The thesis describes design and implementation of various evolutionary algorithms, which were enhanc...
ABSTRACT. Genetic algorithms (GAs) are powerful search techniques that are used success-fully to sol...
Fifteen weeks ago I began to engage in the principles of evolutionary computation. The acquirement o...
Lecture #1: From Evolution Theory to Evolutionary Computation. Evolutionary computation is a subfiel...
Genetic Algorithms contain natural parallelism. There are two main approaches in parallelising GAs. ...
Evolutionary algorithms have been gaining increased attention the past few years because of their ve...
Genetic algorithms are search or classification algorithms based on natural models. They present a h...
Parallel genetic algorithms, models and implementations, attempts to exploit the intrinsically paral...
In dieser Arbeit sollen kurz die Vorgehensweise und erste Ergebnisse der Parallelisierung eines dis...
In the recent years we introduced a continuity operator, the "Superindividual", that allows for the ...
A parallel implementation of Genetic Programming using PVM is described. Two different topologies fo...
Most real-life data analysis problems are difficult to solve using exact methods, due to the size of...