Results 261 to 270 of about 4,528,698 (293)
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Proceedings of the eighth annual conference on Computational learning theory - COLT '95, 1995
Eric B. Baum, Dan Boneh, Charles Garrett
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Eric B. Baum, Dan Boneh, Charles Garrett
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2010
Genetic algorithm is known as one of the ways of resolving complicated problems and optimization issues. This algorithm works based on a search space and in this space it’d seeking for the optimum answer. In this algorithm, there exist agents and gorges which expand the search space with no logical reason.
Seyyed Mahdi Hedjazi +1 more
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Genetic algorithm is known as one of the ways of resolving complicated problems and optimization issues. This algorithm works based on a search space and in this space it’d seeking for the optimum answer. In this algorithm, there exist agents and gorges which expand the search space with no logical reason.
Seyyed Mahdi Hedjazi +1 more
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1999
This paper proposes rough genetic algorithms based on the notion of rough values. A rough value is defined using an upper and a lower bound. Rough values can be used to effectively represent a range or set of values. A gene in a rough genetic algorithm can be represented using a rough value.
Pawan Lingras, Cedric Davies
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This paper proposes rough genetic algorithms based on the notion of rough values. A rough value is defined using an upper and a lower bound. Rough values can be used to effectively represent a range or set of values. A gene in a rough genetic algorithm can be represented using a rough value.
Pawan Lingras, Cedric Davies
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The algebra of genetic algorithms
Annals of Mathematics and Artificial Intelligence, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Mary-Ellen Taplin +2 more
exaly
2004
This paper present a technique based on genetic algorithms for generating online adaptive services. Online adaptive systems provide flexible services to a mass of clients/users for maximising some system goals, they dynamically adapt the form and the content of the issued services while the population of clients evolve over time.
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This paper present a technique based on genetic algorithms for generating online adaptive services. Online adaptive systems provide flexible services to a mass of clients/users for maximising some system goals, they dynamically adapt the form and the content of the issued services while the population of clients evolve over time.
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Genetic Algorithms Genetic Algorithms Agenda
2019Ruaa Al-Falluji, Al-Zoghabi, Adel
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Genetic algorithm-based clustering technique
Pattern Recognition, 2000Sanghamitra Bandyopadhyay +1 more
exaly