Results 201 to 210 of about 3,003,352 (244)

Evolutionary algorithms

1996
Evolutionary algorithms have been gaining increased attention the past few years because of their versatility and are being successfully applied in several different fields of study. We group under this heading a family of new computing techniques rooted in biological evolution that can be used for solving hard problems.
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Representations for Evolutionary Algorithms

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2008
Successful and efficient use of evolutionary algorithms (EA) depends on the choice of the genotype, the problem representation (mapping from genotype to phenotype) and on the choice of search operators that are applied to the genotypes. These choices cannot be made independently of each other.
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Teaching evolutionary algorithms

Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), 2003
Numerous evolutionary computation (EC) courses have been offered at many universities all over the world from the early 90's. However, the field of evolutionary computation is still relatively young, without any standard text nor any standard teaching method. The authors share some experiences in teaching evolutionary courses.
Zbigniew Michalewicz, Maciej Michalewicz
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An evolutionary reincarnation algorithm

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008
As there is little or no experimental experience of reincarnation in the natural world, attempts to add a reincarnation metaphor to an evolutionary algorithm must of necessity proceed cautiously. In previous work the authors have established that the reintroduction of previously stored gene values into the population can have a noticeable effect on the
Ben Prime, Tim Hendtlass
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Fluid evolutionary algorithms

IEEE Congress on Evolutionary Computation, 2010
FluidDB is a new structured storage system, available online for limited alpha test, which is designed to be able to easily store objects and relations among them (using tags). It is accessible through a simple REST interface, which is usually wrapped in a high-level language library.
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Integrated Evolutionary Algorithms

2002
The role of sex in evolutionary algorithms, difference between gene and meme are presented. The role of Darwinian selection process, Mendelians genetics, Lamarckian inheritance, Baldwin effect and Dawkins theory of memes are discussed. All states of integrated evolution can be stored in four memories.
Pavel Osmera, Jan Roupec
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Factored Evolutionary Algorithms

IEEE Transactions on Evolutionary Computation, 2017
Factored evolutionary algorithms (FEAs) are a new class of evolutionary search-based optimization algorithms that have successfully been applied to various problems, such as training neural networks and performing abductive inference in graphical models.
Shane Strasser, John W. Sheppard, Nathan Fortier, Rollie Goodman   +3 more
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Analyses of evolutionary algorithms

2009
Evolutionäre Algorithmen (EAs) werden in der Praxis sehr erfolgreich eingesetzt. Bisher werden die theoretischen Grundlagen von EAs jedoch nicht zufriedenstellend verstanden. Laufzeitanalysen für einfache EAs sollen dieses Verständnis erweitern.
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Evolving evolutionary algorithms

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012
This paper proposes a Grammatical Evolution framework to the automatic design of Evolutionary Algorithms. We define a grammar that has the ability to combine components regularly appearing in existing evolutionary algorithms, aiming to achieve novel and fully functional optimization methods. The problem of the Royal Road Functions is used to assess the
Nuno Lourenço 0002, Francisco Baptista Pereira, Ernesto Costa   +2 more
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Parallel evolutionary algorithms

Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694), 2004
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create a complex evolutionary structure. It can speed up the creation of optimization algorithms with high quality features. The adaptive significance of GAs with sexual reproduction and an artificial immune system is presented. An artificial
Pavel Osmera, Bronislav Lacko, Masopust Petr   +2 more
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