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Genetic algorithms and evolution
Journal of Theoretical Biology, 1990The genetic algorithm (GA) as developed by Holland (1975, Adaptation in Natural and Artificial Systems. Ann Arbor: University of Michigan Press) is an optimization technique based on natural selection. We use a modified version of this technique to investigate which aspects of natural selection make it an efficient search procedure.
B H, Sumida +3 more
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1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 1999
Introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover. It processes each gene independently and requires less memory than the simple GA.
Georges R. Harik +2 more
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Introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover. It processes each gene independently and requires less memory than the simple GA.
Georges R. Harik +2 more
openaire +1 more source
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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Normalization in Genetic Algorithms
2003Normalization is an approach that transforms the genotype of one parent to be consistent with that of the other parent. It is a method for alleviating difficulties caused by redundant encodings in genetic algorithms. We show that normalization plays a role of reducing the search space to another one of less size.
Sung-Soon Choi, Byung Ro Moon
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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
Genetic Algorithms Genetic Algorithms Agenda
2019Ruaa Al-Falluji, Al-Zoghabi, Adel
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Genetic algorithms for optimisation of chemical kinetics reaction mechanisms
Progress in Energy and Combustion Science, 2004Mohamed Pourkashanian +2 more
exaly

