A library for the design of standard and non-standard EAs in C++ is described. The simple object-oriented design of the TEA library allows the fast configuration of new non-standard evolutionary algorithms. In TEA representation independent algorithms can be combined with non-standard genotypes. Complex genotypes can be build from existing simple genotypes. Furthermore, non-panmictic parallel population structures like neighbourhood and multipopulation EAs are supported. This paper introduces the main concepts of the TEA library. Examples illustrate how to build standard algorithms and how to design new kinds of algorithms and representations with TEA
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
C++ program and results for the Evolutionary Algorithm (EA) used in the article "Exact and Approxima...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Abstract A library for the design of standard and non-standard EAs in C++ is described. The simple o...
SIGLEAvailable from TIB Hannover: RR 8071(2001,106)+a / FIZ - Fachinformationszzentrum Karlsruhe / T...
Abstract. There are many types of evolutionary algorithms, just like genetic algorithms, evolution s...
Evolutionary algorithms are not straightforward to implement and the lack of any specialised languag...
This C++ software is a population genetics tool able to simulate the evolution of complex genetic ar...
Over the last few decades, one has observed a remarkable increase, both in the number, and in the qu...
his diploma thesis deals with creating the most universal library of genetic algorithms in C++, as m...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems. Howev...
http://www.elsevier.com/wps/find/journaldescription.cws_home/505612/description#descriptionEvolution...
It is a matter of fact that in Europe evolution strategies and in the U.S.A. genetic algorithms have...
Evolutionary algorithms (EAs) are stochastic optimization techniques based on the principles of natu...
International audienceMany kinds of Evolutionary Algorithms (EAs) have been described in the literat...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
C++ program and results for the Evolutionary Algorithm (EA) used in the article "Exact and Approxima...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Abstract A library for the design of standard and non-standard EAs in C++ is described. The simple o...
SIGLEAvailable from TIB Hannover: RR 8071(2001,106)+a / FIZ - Fachinformationszzentrum Karlsruhe / T...
Abstract. There are many types of evolutionary algorithms, just like genetic algorithms, evolution s...
Evolutionary algorithms are not straightforward to implement and the lack of any specialised languag...
This C++ software is a population genetics tool able to simulate the evolution of complex genetic ar...
Over the last few decades, one has observed a remarkable increase, both in the number, and in the qu...
his diploma thesis deals with creating the most universal library of genetic algorithms in C++, as m...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems. Howev...
http://www.elsevier.com/wps/find/journaldescription.cws_home/505612/description#descriptionEvolution...
It is a matter of fact that in Europe evolution strategies and in the U.S.A. genetic algorithms have...
Evolutionary algorithms (EAs) are stochastic optimization techniques based on the principles of natu...
International audienceMany kinds of Evolutionary Algorithms (EAs) have been described in the literat...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
C++ program and results for the Evolutionary Algorithm (EA) used in the article "Exact and Approxima...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...