Results 21 to 30 of about 3,837,457 (288)
Dynamic Parameter Encoding for Genetic Algorithms [PDF]
Machine Learning, 1992 The common use of static binary place-value codes for real-valued parameters of the phenotype in Holland's genetic algorithm (GA) forces either the sacrifice of representational precision for efficiency of search or vice versa. Dynamic Parameter Encoding (DPE) is a mechanism that avoids this dilemma by using convergence statistics derived from the GA ...
Nicol N. Schraudolph, Richard K. Belew
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Animal, 2020 Community-based breeding programs (CBBPs) for small ruminants have been suggested as alternatives to centralised, government-controlled breeding schemes which have been implemented in many developing countries.
A. Haile +18 more
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Cosmological Parameter Estimation with Genetic Algorithms
Universe, 2023 Genetic algorithms are a powerful tool in optimization for single and multimodal functions. This paper provides an overview of their fundamentals with some analytical examples. In addition, we explore how they can be used as a parameter estimation tool in cosmological models to maximize the likelihood function, complementing the analysis with the ...
Ricardo Medel-Esquivel +4 more
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Genetic parameter estimation for reproductive traits in QingYu pigs and comparison of carcass and meat quality traits to Berkshire×QingYu crossbred pigs [PDF]
Asian-Australasian Journal of Animal Sciences, 2020 Objective The QingYu pig is well known for its excellent meat quality attributes in Sichuan province, China. In order to improve its production efficiency, the determination of genetic factors contributing to quantifiable economic traits of livestock is ...
Jia Luo +13 more
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Loading as a design parameter for genetic circuits [PDF]
2016 American Control Conference (ACC), 2016 A significant problem when building complex biomolecular circuits is due to context-dependence: the dynamics of a system are altered upon changes to its context, potentially degrading the system's performance. Here, we study retroactivity, a specific type of context-dependence, by analyzing the effects of loads on a transcription factor applied by the ...
Nithin Senthur Kumar +1 more
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Animal, 2015 The aim of the present study was to estimate genetic parameters for calcium (Ca), phosphorus (P) and titratable acidity (TA) in bovine milk predicted by mid-IR spectroscopy (MIRS). Data consisted of 2458 Italian Holstein−Friesian cows sampled once in 220
V. Toffanin +5 more
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Estimation of quantitative genetic parameters [PDF]
Proceedings of the Royal Society B: Biological Sciences, 2008 This paper gives a short review of the development of genetic parameter estimation over the last 40 years. The need to analyse genetic processes in both animal selection experiments and animal breeding improvement programmes motivated the majority of this work.
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Operator and parameter adaptation in genetic algorithms [PDF]
Soft Computing, 1997 Genetic Algorithms are a class of powerful, robust search techniques based on genetic inheritance and the Darwinian metaphor of “Natural Selection”. These algorithms maintain a finite memory of individual points on the search landscape known as the “population”.
Jim Smith 0002, Terence C. Fogarty
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Multiobjective gas turbine engine controller design using genetic algorithms
, 1996 This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multivariable control system for a gas turbine engine. The mechanisms employed to facilitate multiobjective search with the genetic algorithm are described with ...
Fleming, P., Chipperfield, Andrew
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Journal of Dairy Science, 1968 Abstract Estimates were made of some genetic parameters of milk yield and its components and of the breeding values of sires for yields and constituent percentages. The data consisted of 1.449 cows of the Ayrshire, Guernsey, Holstein, Jersey, and Brown Swiss breeds located in 43 herds.
M C, Gacula, S N, Gaunt, R A, Damon
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