نتایج جستجو برای: genetics algorithms
تعداد نتایج: 403033 فیلتر نتایج به سال:
Background: Understanding the differences in genetics of malignancies is crucial for therapeutic decisions. This systematic review was conducted to evaluate the current evidence on genetics of bone tumors in the context of pediatric cancer. Material and Methods: We performed a systematic review of the literature published on genetics of pediatrics bone tumors, using PubMed, Google scholar,...
One of the main bottlenecks in Genetics Algorithms is the fitness evaluation for each individual. In this work, we propose a new fitness evaluation method, which will solve the bottleneck calculating a fitness on the j y .
Ploidy: the number of copies of each chromosome that is contained in somatic (non-gamete) cells of a species. In humans and most other animal species, the somatic cells are usually diploid, meaning they have 2 copies of each chromosome, whereas the gamete cells are haploid and have a single copy of each chromosome. Some plant and animal species are known to have more than 2 copies of each chrom...
the outcome of this research is a practical framework for “idea generation phase of new product development process based on customer knowledge”. in continue, the mentioned framework implemented in a part of iran n.a.b market and result in segmenting and profiling this market. also, the critical new product attributes and bases of communication message and promotion campaigns extracted. we have...
The purpose of this article is to analyze from a philosophical reflection the unprecedented devices biogeneration (genetics and DNA manipulation) infogeneration (algorithms Big Data) that characterize contemporary modes production accumulation both biogenetic platform capitalism. emergence these has been possible due growing integration mutual leverage between technoscience, bioeconomy life sci...
Genetic Algorithm falls under the category of evolutionary algorithm that follows principles natural selection and genetics, where best adapted individuals in a population are more likely to survive reproduce, passing on their advantageous traits offsprings. Crossover is crucial operator genetic algorithms as it allows material two or combine create new individuals. Optimizing can potentially l...
Selection for reproduction in the context of Genetic Algorithms uses only one selection scheme to select parent individuals. When considering the model of sexual selection in the area of population genetics it gets obvious that the process of choosing mating partners in natural populations is different for male and female individuals. In this paper the authors introduce a new selection paradigm...
background dermatophytes are a group of keratinophilic fungi worldwide, which can infect the skin, hair and nails of humans and animals. this genus includes several species that present different features of dermatophytosis. although, laboratory diagnosis of dermatophytes is based on direct microscopy, biochemical tests and culture, these manners are expensive, time consuming and need skilled s...
Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for computersupported collaborative work. Moreover, such a user-centered approach fuses human and computer partners in a natural way. This paper presents a first test, as well as analyzes the obtained results, of real human and com...
Breeder Genetic Algorithms represent a class of random optimisation techniques gleaned from the science of population genetics, which have proved their ability to solve hard optimisation problems with continuous parameters. In this paper we test a parallel version of this technique against a sequential Breeder Genetic Algorithm on a typical inverse design problem in Aerodynamics, the problem of...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید