نتایج جستجو برای: honey bee mating optimization

تعداد نتایج: 360998  

Journal: :Genome research 2003
Neil F Lobo Lucas Q Ton Catherine A Hill Christine Emore Jeanne Romero-Severson Greg J Hunt Frank H Collins

We have sequenced an 81-kb genomic region from the honey bee, Apis mellifera, associated with a quantitative trait locus (QTL) sting-2 for aggressive behavior. This sequence represents the first extensive study of the honey-bee genome structure encompassing putative genes in a QTL for a behavioral trait. Expression of 13 putative genes, as well as two transcripts that were present in a honey-be...

2014

This research work, proposes an ABC (Artificial Bee Colony Optimization) based framework, motivated by the intelligent behavior of honey bees to automate the test suite optimization process. Here, the bees are implemented as agents that perform the test suite optimization activities seamlessly. Since, the ABC system combines local search methods carried out by employed and onlooker bees with gl...

Journal: :Inf. Sci. 2012
Bahriye Akay Dervis Karaboga

Swarm intelligence is a research field that models the collective intelligence in swarms of insects or animals. Many algorithms that simulates these models have been proposed in order to solve a wide range of problems. The Artificial Bee Colony algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behaviour of honey bee colonies. In this work, modi...

2017
Tanja Tesovnik Ivanka Cizelj Minja Zorc Manuela Čitar Janko Božič Gordana Glavan Mojca Narat

Varroa destructor is one of the most common parasites of honey bee colonies and is considered as a possible co-factor for honey bee decline. At the same time, the use of pesticides in intensive agriculture is still the most effective method of pest control. There is limited information about the effects of pesticide exposure on parasitized honey bees. Larval ingestion of certain pesticides coul...

2017
Joseph Margotta Joseph William Margotta Joseph W. Margotta

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Journal: :Revista alergia Mexico 2013
Martìn Becerril-Ángeles Marco Núñez-Velázquez María Isabel Arias-Martìnez

BACKGROUND Honeybee stings can cause toxic and allergic reactions that may lead to severe symptoms, and sometimes to death. Mexico is the third worldës honey country exporter and sixth producer. Due to the arrival of Africanized bees into Mexico in 1986, the National Program for Control of Africanized Bee (NPCAB) was created, in order to reduce the socioeconomic and sanitary impact from the new...

Journal: :CEJOR 2011
Jorge A. Ruiz-Vanoye Ocotlán Díaz-Parra

In this paper, we show the functional similarities between Meta-heuristics and the aspects of the science of life (biology): (a) Meta-heuristics based on gene transfer: Genetic algorithms (natural evolution of genes in an organic population), Transgenic Algorithm (transfers of genetic material to another cell that is not descending); (b) Meta-heuristics based on interactions among individual in...

2017
William Glenny Ian Cavigli Katie F Daughenbaugh Rosemarie Radford Susan E Kegley Michelle L Flenniken

Honey bees are important pollinators of agricultural crops. Pathogens and other factors have been implicated in high annual losses of honey bee colonies in North America and some European countries. To further investigate the relationship between multiple factors, including pathogen prevalence and abundance and colony health, we monitored commercially managed migratory honey bee colonies involv...

2012
Mohammad Alamery Seyyed Javadi

Multi-join query optimization is an important technique for designing and implementing database management system. It is a crucial factor that affects the capability of database. This paper proposes a Bees algorithm that simulates the foraging behavior of honey bee swarm to solve Multi-join query optimization problem. The performance of the Bees algorithm and Ant Colony Optimization algorithm a...

2010
Mohammad Alamery Ahmad Faraahi Hamid Haj Seyyed Javadi Sadegh Nourossana Hossein Erfani

Multi-join query optimization is an important technique for designing and implementing database management system. It is a crucial factor that affects the capability of database. This paper proposes a Bees algorithm that simulates the foraging behavior of honey bee swarm to solve Multi-join query optimization problem. The performance of the Bees algorithm and Ant Colony Optimization algorithm a...

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