Results 271 to 280 of about 123,558 (314)

The immune evolutionary algorithm

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410), 2003
A novel algorithm, the immune evolutionary algorithm (IEA), is proposed based on immune theory in biology, which constructs an immune operator accomplished by two steps: a vaccination and an immune selection. IEA is shown to converge to the global optimum with probability 1.
Lei Wang 0018, Licheng Jiao
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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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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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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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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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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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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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Herding Evolutionary Algorithm

Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
In this paper, we address the problem of black box optimization over binary vectors. We introduce a novel evolutionary algorithm called Herding Evolutionary Algorithm which relies on herding to generate individuals with empirical moments close to those of selected individuals. We report experiments with diverse fitness functions and compare the results
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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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A Destructive Evolutionary Algorithm Process

2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The current method for establishing memory operating parameters is a time consuming and expensive manual process of destructive testing. Understandably this process is normally undertaken only at design time.
Joe Sullivan, Conor Ryan
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