Results 321 to 330 of about 321,863 (350)

An introduction to evolutionary programming

1996
Evolutionary programming is a method for simulating evolution that has been investigated for over 30 years. This paper offers an introduction to evolutionary programming, and indicates its relationship to other methods of evolutionary computation, specifically genetic algorithms and evolution strategies.
David B. Fogel, Lawrence J. Fogel
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Emphasizing extinction in evolutionary programming [PDF]

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), 2003
Evolutionary programming typically uses tournament selection to choose parents for reproduction. Tournaments naturally emphasize survival. However, a natural opposite of survival is extinction, and a study of the fossil record shows extinction plays a key role in the evolutionary process. This paper presents a new evolutionary algorithm that emphasizes
G.W. Greewood, Gary B. Fogel, M. Ciobanu
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Evolutionary meta programming

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
The Evolutionary Meta Programming (EMP) approach towards the evolution of computer programs is presented. An EMP system is divided into two interacting parts: The Host Environment, and the Target Environment. Programs are evolved in an arbitrary target language by the Host Environment and are injected into the Target Environment, where they are ...
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Evolutionary Programming and Genetic Programming

1996
In this chapter we review briefly two powerful evolutionary techniques; these are evolutionary programming (section 13.1) and genetic programming (section 13.2). These two techniques were developed a quarter of a century apart from each other; they aimed at different problems; they use different chromosomal representations for individuals in the ...
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Program Evaluation as an Evolutionary Process

Evaluation Review, 1983
This article discusses ongoing program evaluation as an evolutionary process in which the form of evaluation changes in response to the questions to be addressed. The concept implies that as programs evolve over time, so should the evaluation designs; furthermore this evolutionary process can result in different evaluation approaches being used in ...
Lore A. Nielsen, Susan Douglas Turner
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A program for drawing evolutionary trees

Bioinformatics, 1988
From the measures of evolutionary distance between pairs of sequences in a set, it is possible to infer the genetic tree or trees which best fit these known data. DENDRON is a new program, written in FORTRAN 66, which computes an initial tree from the bottom-up, then searches among increasingly divergent trees for a better fit.
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Evolutionary computer programming

2009
Nature offers a tremendous amount of extremely complicated problems which cannot easily be rationalized and resolved. Probably one has to accept that there are scientific and technological problems too complex to be directly rationalized by humans. A well-known example is the non-periodical movement of many gravitationally interacting bodies in space ...
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Fast immunized evolutionary programming

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2004
Evolutionary programming is a good global optimization method. By introducing the improved adaptive mutation operation and improved selection operation based on thickness adjustment of artificial immune system into traditional evolutionary programming, a fast immunized evolutionary programming is proposed in this paper.
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Evolutionary Programming: The-State-of-the-Art

2006 6th World Congress on Intelligent Control and Automation, 2006
Evolutionary programming is an important kind of evolutionary computation method, which is very efficient especially for continuous parameter optimization problems. Several different versions of evolutionary programming have been proposed during recent years. This paper gives a detailed review of the research status aiming at better further research.
Xiaoli Song, Jihui Zhang, Junqin Xu
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The use of genetic programming in evolutionary economics

2004
This book takes up the challenge of developing an empirically based foundation for evolutionary economics built upon complex system theory. The authors argue that modern evolutionary economics is at a crossroads. At a theoretical level, modern evolutionary economics is moving away from the traditional focus of the operation of selection mechanisms and ...
Bernd Ebersberger, Andreas Pyka
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