Results 261 to 270 of about 3,639,310 (295)

Selection strategies and artificial evolution

Theoretical and Applied Genetics, 1989
Artificial selection results in biolgical changes, creating artificial evolution. When using selection indexes, the artificial evolution depends on the relative economic (or other) weight of traits in the breeding objective, and on the phenotypic and genetic variances and covariances among these traits and the traits recorded in the selection index. As
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Portfolio Selection with Contrarian Strategy

Methodology and Computing in Applied Probability
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Lu, Zhichao, Pang, Peiyuan, Xu, Yuhong, Zhang, Wenxin   +3 more
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Selectivity and strategy in early search

Journal of Experimental Child Psychology, 1982
Abstract Early information-processing strategies were examined in a study of very young children's search for hidden objects. Sixteen younger children (mean age: 1 year; 11 months) and sixteen older children (mean age: 2;6) received search problems in which observational and/or verbal information about an object's location was provided.
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Pedagogical pattern selection strategies

Neural Networks, 1994
Abstract The problem of the pattern selection strategy for neural network training has not yet received much attention. In back propagation training all patterns are usually presented equally often in random order. This paper presents and compares several alternative pattern selection strategies that adapt to the training process.
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Comparison and analysis of different selection strategies of genetic algorithms for fuel reloading optimization of Thorium-based HTGRs

Nuclear Engineering and Design, 2021
Ming Ding
exaly  

Selecting a Strategy

2020
Stephen J. Lukasik, Seymour E. Goodman, David W. Longhurst   +2 more
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Linking supplier selection and management strategies with mass customization capability

Journal of Business and Industrial Marketing, 2021
Inayat Ullah, Rakesh Narain
exaly  

Evolution strategies with subjective selection

1996
Evolution strategies with subjective selection of the offspring can be applied to optimization problems, when no objective evaluation of the offspring is possible. For this class of optimization problems, strategies with insensitivity towards incorrect selection decisions are necessary. With subjective selection, incorrect decisions are unavoidable and
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Multi-objective particle swarm optimization with adaptive strategies for feature selection

Swarm and Evolutionary Computation, 2021
Wen-Tao Chen, Qing-Hua Ling, Henry Han   +2 more
exaly  

On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces

Journal of the American Statistical Association, 2013
Gonzalo García-Donato, Miguel A Martinez-Beneito   +1 more
exaly