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A Novel Collective Crossover Operator for Genetic Algorithms
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020Crossover is the main genetic operator which influences the power of evolutionary algorithms. Among a variety of crossover operators, there has been a growing interest in multi-parent crossover operators in evolutionary computation. The main motivation of those schemes is establishing comprehensive collective collaboration of more than two chromosomes ...
Berna Kiraz +3 more
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Collection of plant genetic resources in Italy 1989
Die Kulturpflanze, 1990Exploration and collection of plant genetic resources were continued in central Italy 1989—regions Abruzzo, Umbria, Marche, Toscana.Triticum dicoccon was used as an indicator for traditional agriculture. 169 accessions were collected, mainly of cereals, vegetables and grain legumes. Worth mentioning are land-races ofTriticum aestivum, T.
Hammer K +3 more
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Optimization of Garbage Collection Using Genetic Algorithm
2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2017The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is ...
Alexander Bento Melo +3 more
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TCK: A clinical genetics data collection system
Journal of Medical Systems, 1992This work examines the database design and user interface design for a clinical genetics data collection system known as TCK. A specific design goal is automatic generation of the CORN reports. Emphasis in this paper is on how the logical data model resulting from the database design, and the user interface work together to enforce the enterprise ...
J M, Gersting +2 more
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Collective Intelligence of Genetic Programming for Macroeconomic Forecasting
2011A collective approach to the problem of developing forecasts for macroeconomic indicators is presented in the paper. The main advantage of genetic programming over artificial neural networks is that it generates human readable mathematical expressions that can be interpreted by a decision-maker.
Jerzy Duda, Stanislaw Szydlo
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Optimal Collection and Search for Crop Genetic Resources
1998Plant breeders exploit genetic resources in their search for improved genetic performance in cultivated crop species. Prior to the development of modern crop breeding techniques toward the end of the 19th century, farmers themselves selected their own varieties within individual, cultivated species.
Evenson, R.E., Lemarié, Stephane
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[The Petergof genetic collection of microorganisms].
Genetika, 1995The Petergof Genetic Collection (PGC) of microalgae was created in the 1960s during study of the regularities of mutational processes. A collection of yeasts has been maintained at the Department of Genetics and Selection of St. Petersburg State University since 1977.
M G, Samsonova +3 more
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STUDY, COLLECTION AND CHARACTERIZATION OF OLEASTER GENETIC RESOURCES
Acta Horticulturae, 2012Wild olive populations spread in many of the Mediterranean regions. In Sardinia Island, however, the oleaster (Olea europaea var. sylvestris) provides a reserve of genetic resources, both as a component of Mediterranean maquis and in the form of very old trees.
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Genetic drift and collective dispersal can result in chaotic genetic patchiness.
Evolution; international journal of organic evolution, 2013Chaotic genetic patchiness denotes unexpected patterns of genetic differentiation that are observed at a fine scale and are not stable in time. These patterns have been described in marine species with free-living larvae, but are unexpected because they occur at a scale below the dispersal range of pelagic larvae.
Broquet, Thomas +2 more
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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Todd M Morgan +2 more
exaly