objective(s):previous studies demonstrated a functional similarity between vertebrate and honey bee nervous systems. the aim of the present study was to compare the effects of heroin and iranian street kerack, a combination of heroin and caffeine, on sensory threshold and locomotor activity in honey bees. materials and methods: all drugs were given orally to honey bees 30 min before each experi...

Clustering is the unsupervised learning in which the data is divided into similar groups (cluster) without any prior knowledge. The emerging swarm-based algorithms become an alternative to the conventional clustering methods to enhance the quality of results. Artificial Bee Colony (ABC) Algorithm is one of the Swarm Intelligent based optimization algorithm that exhibit foraging properties of a ...

In this paper, optimal tuning of the PID controller for solution of the Load frequency Control (LFC) problem in the restructured power system is proposed using Honey Bee Mating Optimization (HBMO) technique. The problem of robustly tuning of PID based LFC design is formulated as an optimization problem according to the time domain-based objective function which is solved by the HBMO technique t...

Concern is growing over the effects of neonicotinoid pesticides, which can impair honey bee cognition. We provide the first demonstration that sublethal concentrations of imidacloprid can harm honey bee decision-making about danger by significantly increasing the probability of a bee visiting a dangerous food source. Apis cerana is a native bee that is an important pollinator of agricultural cr...

In data mining, Association rule mining is one of the popular and simple method to find the frequent item sets from a large dataset. While generating frequent item sets from a large dataset using association rule mining, computer takes too much time. This can be improved by using artificial bee colony algorithm (ABC). The Artificial bee colony algorithm is an optimization algorithm based on the...

totally, 3200 and 320 young worker bees were investigated morphologically and molecularly respectively. the four important honey bee microsatellite loci, a24, a28, a29, a113, indicated a considerable level of genetic diversity among the nation’s northwest honey bee populations and, considering average number of alleles per locus (3.25-5.75) and, average expected heterozygosity (0.445-0.701) hig...

Artificial Bee Colony (ABC) algorithm simulates the foraging behavior of honey bee colonies. ABC is an optimization technique, which is used in finding the best solution from all feasible solutions. However, there is still an insufficiency in ABC regarding improvement in exploitation and convergence speed. In order to improve the performance of ABC we embedded PSO into ABC. As PSO has memory, k...

Honey bees (Apis mellifera) are key pollinators, playing a vital role in ecosystem maintenance and stability of crop yields. Recently, reduced honey bee survival has attracted intensive attention. Among all other honey bee stresses, temperature is a fundamental ecological factor that has been shown to affect honey bee survival. Yet, the impact of low temperature stress during capped brood on br...

Asian honey bees provide fascinating insights into the evolution of honey bee foraging communication. Although all honey bees use the waggle dance to communicate resource location, variations in the waggle dance and in the biology of Asian species have led to several different hypotheses about how and why this famous behavior evolved. In this review, my goal is to suggest areas of research and ...

A Modified Artificial Bee Colony (ABC) algorithm for Economic Dispatch (ED) problem has been proposed. The Artificial Bee Colony (ABC) algorithm which is inspired by the foraging behavior of honey bee swarm gives a solution procedure for solving economic dispatch problem. It provides solution more effective than Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimizati...