نتایج جستجو برای: genetics algorithms

تعداد نتایج: 403033  

Ahad Yamchi, Majid Shahbazi, Masood Golalipour, Sabah Mayahi,

 Background: Deregulation of FOXO3a gene which belongs to Forkhead box O (FOXO) transcription factors, can cause cancer (e.g. breast cancer). FOXO factors have important role in ubiquitination, acetylation, de-acetylation, protein-protein interactions and phosphorylation. Understanding the regulation and mechanisms of FOXO3a can lead to cancer treatment. The aim of this study recent association...

خان احمدی, محمد, فرهود, داریوش, مالمیر, مریم,

Abstract Community genetics is an applied research area that explores the role of genetic variables on the interactions and community structure determinism affecting species. Community genetics covers a spectrum from services, genetic and congenital disorders, genetic counseling, prevention and screening to macro policies. The focal point of community genetics is the society, and community-o...

Journal: :international journal of reproductive biomedicine 0
fahimeh ramezani tehrani maryam daneshpour somayeh hashemi maryam zarkesh feridoun azizi

background: polycystic ovary syndrome (pcos) is a complex disease having both genetic and environmental components and candidate genes on obesity and insulin metabolism have been hypothesized to be involved in its etiology. objective: we examined the possible association of adiponectin and insulin receptor gene polymorphisms with pcos. materials and methods: a total of 186 women with pcos using...

Ali Khosrozadeh ghomi Azadeh Divsalar Behnam Barzegar, Homayun Motameni

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

1994
JOHN GREFENSTETTE

Evolutionary algorithms incorporate principles from biological population genetics to perform search, optimization, and learning. This article discusses issues arising in the application of evolutionary algorithms to problems in robotics.

Journal: :Frontiers in Ecology and Evolution 2022

The effect of landscape patterns and environmental factors on the population structure genetic diversity organisms is well-documented. However, this still unclear in case Mymaridae parasitoids. Despite recent advances machine learning methods for genetics, ensemble needs further investigation. Here, we evaluated performance different boosting algorithms analyzed effects variations tea green lea...

Ali Khosrozadeh ghomi Azadeh Divsalar Behnam Barzegar, Homayun Motameni

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

Farhud, Daryoush, Pourkalhor, Haniyeh,

Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. AI has application...

 This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...

Journal: :European Journal of Radiology 2021

The WHO classification of soft tissue tumours categorizes the lesions based on histological differentiation. In recent fifth edition (2020), many new entities have been introduced, their distinct biological behaviour, genetics and morphology. With advances better understanding molecular genetics, several novel recurrent genetic alterations incorporated in this edition. These may serve as reliab...

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