Results 211 to 220 of about 188,059 (261)
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
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Effects of dual-task resistance exercise on cognition, mood, depression, functional fitness, and activities of daily living in older adults with cognitive impairment: a single-blinded, randomized controlled trial. [PDF]
BMC GeriatrBaek JE +4 more
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Statistics in Medicine, 2009
AbstractGroup sequential monitoring is used to provide guidance on stopping a clinical trial in progress based on interim evaluation of its efficacy objectives. A trial could stop because an experimental regimen (1) is efficacious, (2) lacks any sign of efficacy, or (3) is specifically less efficacious than a control.
Keaven M, Anderson, Jason B, Clark
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AbstractGroup sequential monitoring is used to provide guidance on stopping a clinical trial in progress based on interim evaluation of its efficacy objectives. A trial could stop because an experimental regimen (1) is efficacious, (2) lacks any sign of efficacy, or (3) is specifically less efficacious than a control.
Keaven M, Anderson, Jason B, Clark
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Properties of Symmetric Fitness Functions
IEEE Transactions on Evolutionary Computation, 2006The properties of symmetric fitness functions are investigated. We show that the search spaces obtained from symmetric functions have the zero-correlation structures between fitness and distance. It is also proven that symmetric functions induce a class of the hardest problems in terms of the epistasis variance and its variants.
Sung-Soon Choi +2 more
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Evolving Fitness Landscapes with Complementary Fitness Functions
2020Given an optimization problem, local search algorithms may fail to reach optimal solutions when faced to difficult and unsuitable fitness landscapes. Climbing based optimization is sensitive to unexpected distribution of local optima. In this paper, we aim at modifying the initial fitness landscape of a problem in order to better fit climbing ...
Hénaux, Vincent +2 more
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Fitting the correlation function
Applied Optics, 2000The whole correlation function of the intensity of scattered light is usually determined from a single realization of the photocurrent. As a result, the values of the correlation function at different delay times are not statistically independent. A standard least-squares fitting procedure is not optimal for an analysis of such data.
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Fitting of multivariate functions
Proceedings of the IEEE, 1987This research presents a nonparametric algorithm for fitting of a multivariate function from noisy data. Conditions are provided that assure local and global convergence in probability. Suggestions are stated for practical use of the algorithm.
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The inverse of fitting's functional
2005The evaluation of a goal for a logic program can be viewed as the search for an answer, written in the constraints language, that correctly implies the goal. We propose a small set of inference rules, correct w.r.t. the completion of a program and the Clark equational theory, which is strong enough to compute a complete set of answers for extended ...
Alberto Bottoni, Giorgio Levi
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A guide for fitness function design
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011Fitness function design is often both a design and performance bottleneck for evolutionary algorithms. The fitness function for a given problem is directly related to the specifications for that problem. This paper outlines a guide for transforming problem specifications into a fitness function.
Josh L. Wilkerson, Daniel R. Tauritz
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Proceedings of the 8th ACM conference on Creativity and cognition, 2011
The process of creating art is an optimization problem for which the objective function is probably unknown and possibly undefinable. That objective function is imposed on the artist by an environment which may be composed of any of a number of sources: peers, a jury, society, the self.
David Norton, Derrall Heath, Dan Ventura
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The process of creating art is an optimization problem for which the objective function is probably unknown and possibly undefinable. That objective function is imposed on the artist by an environment which may be composed of any of a number of sources: peers, a jury, society, the self.
David Norton, Derrall Heath, Dan Ventura
openaire +1 more source