Simulation of Genetic Systems by Automatic Digital Computers II. Effects of Linkage on Rates of Advance Under Selection

Fraser, AS

doi:10.1071/bi9570492

Cited by 113 publications

(47 citation statements)

References 5 publications

(8 reference statements)

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“…The method of approach has not been that of strict simulation of genetic processes by means of logical operations with individual binary digits in a computer, as reported by Fraser (1957) and Martin and Cockerham (1959). Instead a method has been adopted which is particularly suited to the study of a small number of loci under very general conditions, all operations in the passage from one generation to the next being algebraically defined, apart from a process involving random sampling of genotypes from a conceptual population of potential parents.…”

Section: -----'-------1-----i --I---mentioning

confidence: 98%

The Response to Artificial Selection Due to Autosomal Genes of Large Effect II. The Effects of Linkage on Limits to Selection in Finite Populations

Bd¹

1965

Aust. Jnl. Of Bio. Sci.

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SummaryThe limits to artificial selection for pairs of linked additive loci of equal proportionate effect, starting from a base population in linkage equilibrium, have been studied by means of a simulation technique on a CDC 3600 computer. Particular attention has been paid to the case of genes of large effect, making use of the definition of the selective value of a genotype given in the first paper of this series.It has been shown that the expected total response is progressively reduced as the degree of linkage is intensified, the effect being most pronounced when the response due to unlinked genes is expected to be 60-70% of the maximum possible advance. The magnitude of the reduction observed in these experiments is appreciable only at recombination values less than 0 ·10. It is concluded that if the effects of population size alone are such as to reduce the expected response by 40% or more, the linkage effect may be relatively unimportant for genes separated by as little as five map units.

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Section: -----'-------1-----i --I---mentioning

confidence: 98%

The Response to Artificial Selection Due to Autosomal Genes of Large Effect II. The Effects of Linkage on Limits to Selection in Finite Populations

Bd¹

1965

Aust. Jnl. Of Bio. Sci.

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“…Genetic algorithms (GAs) are search methods based on principles of natural selection and genetics [25][26][27]. Several reviews of GAs and their application to chemistry-related problems have been published [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Use of genetic algorithms with multivariate regression for determination of gelatine in historic papers based on FT-IR and NIR spectral data

Cséfalvayová

Pelikán

Cigić

et al. 2010

Talanta

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Quantitative non-destructive analysis of individual constituents of historic rag paper is crucial for its effective preservation. In this work, we examine the potentials of mid-and near-infrared spectroscopy, however, in order to fully utilise the selectivity inherent to spectroscopic multivariate measurements, genetic algorithms were used to select spectral data derived from information-rich FT-IR or UV-VIS-NIR measurements to build multivariate calibration models based on partial least squares regression, relating spectra to gelatine content in paper. A selective but laborious chromatographic method for the quantification of hydroxyproline (HYP) has been developed to provide the reference data on gelatine content. We used 9-fluorenylmethyl chloroformate (FMOC) to derivatise HYP, which was subsequently determined using reverse-phase liquid chromatographic separation and fluorimetric detection. In this process, the sample is consumed, which is why the method can only be used as a reference method.The sampling flexibility afforded by small-size field-portable spectroscopic instrumentation combined

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“…The idea of simulation of biological evolution and the natural selection of organisms dates back to the 1950s by early pioneers such as Alex Fraser (Fraser, 1957a;Fraser, 1957b). Nevertheless, the theoretical foundation of Genetic Algorithms (GAs) was established by Holland (1975).…”

Section: A Population Metaheuristicsmentioning

confidence: 99%

Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

Pico¹,

Tan²

2012

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to ABSTRACT (maximum 200 words)As Humanitarian Assistance and Disaster Relief (HADR) operations gain importance, a number of problems become evident. The time-sensitive problem of evacuating non-ambulatory people from a disaster area proves to be a challenging combinatorial optimization problem. The scope of the problem is defined by drawing analogies to similar vehicle routing problems that have been previously addressed. Based on the basic Max-Min Ant System (MMAS) algorithm modeled after the behavior of ants seeking food, potential solution approaches to this problem are enhanced to improve quality and efficiency by hybridizing features such as a best solution list, elite ants, ranked contribution system, and heuristic procedures during route construction. Using a Nearly-Orthogonal Latin Hypercubes (NOLH) experimental design, the algorithm parameters are tuned for best empirical performance for a range of test scenarios. SUBJECT TERMS HEURISTICS FOR SOLVING PROBLEM OF EVACUATING NON-AMBULATORY PEOPLE IN A SHORT-NOTICE DISASTER

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Simulation of Genetic Systems by Automatic Digital Computers II. Effects of Linkage on Rates of Advance Under Selection

Cited by 113 publications

References 5 publications

The Response to Artificial Selection Due to Autosomal Genes of Large Effect II. The Effects of Linkage on Limits to Selection in Finite Populations

The Response to Artificial Selection Due to Autosomal Genes of Large Effect II. The Effects of Linkage on Limits to Selection in Finite Populations

Use of genetic algorithms with multivariate regression for determination of gelatine in historic papers based on FT-IR and NIR spectral data

Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

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