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Fitness Landscapes and Inductive Genetic Programming
1998This paper proposes a study of the performance of inductive genetic programming with decision trees. The investigation concerns the influence of the fitness function, the genetic mutation operator and the categorical distribution of the examples in inductive tasks on the search process. The approach uses statistical correlations in order to clarify two
Vanio Slavov, Nikolay I. Nikolaev
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Genetic Basis of Physical Fitness
Annual Review of Anthropology, 2007Environmental stimuli interact with common genetic variants to determine individual characteristics including physical performance: ∼80% of variation in arm eccentric flexor strength and grip strength may be genetically determined. However, many physical characteristics and physiological processes determine physical performance, and each is regulated ...
Hugh Montgomery, Latif Safari
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A Fitness Estimation Strategy for Genetic Algorithms
2002Genetic Algorithms (GAs) are a popular and robust strategy for optimisation problems. However, these algorithms often require huge computation power for solving real problems and are often criticized for their slow operation. For most applications, the bottleneck of the GAs is the fitness evaluation task.
Mehrdad Salami, Tim Hendtlass
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Fitness landscapes and difficulty in genetic programming
Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence, 2002The structure of the fitness landscape on which genetic programming operates is examined. The landscapes of a range of problems of known difficulty are analyzed in an attempt to determine which landscape measures correlate with the difficulty of the problem. The autocorrelation of the fitness values of random walks, a measure which has been shown to be
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Shorter Fitness Preserving Genetic Programs
2000In the paper a method that moderates code growth in genetic programming is presented. The addressed problem is symbolic regression. A special mutation operator is used for the simplification of programs. If every individual program in each generation is simplified, then the performance of the genetic programming system is slightly worsened.
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Fitness inheritance in genetic algorithms
Proceedings of the 1995 ACM symposium on Applied computing - SAC '95, 1995Robert E. Smith 0001 +2 more
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Genetics of Cardiorespiratory Fitness
Medicine & Science in Sports & Exercise, 2014Meike Bartels +3 more
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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
GENETICS OF PHYSIOLOGICAL FITNESS AND MOTOR PERFORMANCE
Exercise and Sport Sciences Reviews, 1983C, Bouchard, R M, Malina
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