Abstract 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 conguration of new non-standard evolutionary algorithms. In TEA representation independent algorithms can be combined with non-standard genotypes. Complex genotypes can be build from exist-ing 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 Algorithms (EAs) have shown great promise in solving complex real-world problems, such ...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Over the last few decades, one has observed a remarkable increase, both in the number, and in the qu...
A library for the design of standard and non-standard EAs in C++ is described. The simple object-ori...
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 (EAs) are stochastic optimization techniques based on the principles of natu...
Evolutionary algorithms are not straightforward to implement and the lack of any specialised languag...
C++ program and results for the Evolutionary Algorithm (EA) used in the article "Exact and Approxima...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems. Howev...
his diploma thesis deals with creating the most universal library of genetic algorithms in C++, as m...
This paper shows how evolutionary algorithms can be described in a concise, yet comprehensive and ac...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
This C++ software is a population genetics tool able to simulate the evolution of complex genetic ar...
It is a matter of fact that in Europe evolution strategies and in the U.S.A. genetic algorithms have...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems, such ...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Over the last few decades, one has observed a remarkable increase, both in the number, and in the qu...
A library for the design of standard and non-standard EAs in C++ is described. The simple object-ori...
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 (EAs) are stochastic optimization techniques based on the principles of natu...
Evolutionary algorithms are not straightforward to implement and the lack of any specialised languag...
C++ program and results for the Evolutionary Algorithm (EA) used in the article "Exact and Approxima...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems. Howev...
his diploma thesis deals with creating the most universal library of genetic algorithms in C++, as m...
This paper shows how evolutionary algorithms can be described in a concise, yet comprehensive and ac...
Evolutionary computing (EC) is an exciting development in Computer Science. It amounts to building, ...
This C++ software is a population genetics tool able to simulate the evolution of complex genetic ar...
It is a matter of fact that in Europe evolution strategies and in the U.S.A. genetic algorithms have...
Evolutionary Algorithms (EAs) have shown great promise in solving complex real-world problems, such ...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Over the last few decades, one has observed a remarkable increase, both in the number, and in the qu...