AIMC Topic: Bees

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An Enhanced Artificial Bee Colony Algorithm with Solution Acceptance Rule and Probabilistic Multisearch.

Computational intelligence and neuroscience Dec 24, 2015
The artificial bee colony (ABC) algorithm is a popular swarm based technique, which is inspired from the intelligent foraging behavior of honeybee swarms. This paper proposes a new variant of ABC algorithm, namely, enhanced ABC with solution acceptan...
Artificial Intelligence Algorithms Bees Social Behavior Crowding Computer Simulation Animals Probability
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From honeybees to robots and back: division of labour based on partitioning social inhibition.

Bioinspiration & biomimetics Oct 26, 2015
In this paper, a distributed adaptive partitioning algorithm inspired by division of labor in honeybees is investigated for its applicability in a swarm of underwater robots in one hand and is qualitatively compared with the behavior of honeybee colo...
Social Behavior Inhibition, Psychological Algorithms Equipment Design Cooperative Behavior Feeding Behavior Animals Biomimetics Behavior, Animal Robotics Bees Equipment Failure Analysis
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Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data.

Journal of integrative bioinformatics Oct 21, 2015
Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plant's resin, but a big...
Animals Brazil Propolis Humans Machine Learning Bees Spectrophotometry, Ultraviolet
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Genetic Learning Particle Swarm Optimization.

IEEE transactions on cybernetics Sep 17, 2015
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance e...
Animals Models, Genetic Bees Algorithms Computer Simulation Genetics, Behavioral Artificial Intelligence
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Visual choice behavior by bumblebees (Bombus impatiens) confirms unsupervised neural network's predictions.

Journal of comparative psychology (Washington, D.C. : 1983) May 18, 2015
The behavioral experiment herein tests the computational load hypothesis generated by an unsupervised neural network to examine bumblebee (Bombus impatiens) behavior at 2 visual properties: spatial frequency and symmetry. Untrained "flower-naïve" bum...
Animals Bees Behavior, Animal Pattern Recognition, Visual Choice Behavior Neural Networks, Computer
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Fuzzy Controller Design Using Evolutionary Techniques for Twin Rotor MIMO System: A Comparative Study.

Computational intelligence and neuroscience Apr 19, 2015
This paper presents a comparative study of fuzzy controller design for the twin rotor multi-input multioutput (MIMO) system (TRMS) considering most promising evolutionary techniques. These are gravitational search algorithm (GSA), particle swarm opti...
Bees Humans Gravitation Algorithms Biological Evolution Computer Simulation Fuzzy Logic Animals Nonlinear Dynamics Models, Theoretical
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An Acoustic Communication Technique of Nanorobot Swarms for Nanomedicine Applications.

IEEE transactions on nanobioscience Apr 17, 2015
In this contribution, we present a communication paradigm among nanodevices, based on acoustic vibrations for medical applications. We consider a swarm of nanorobots able to communicate in a distributed and decentralized fashion, propelled in a biolo...
Animal Communication Vibration Nanomedicine Bees Humans Robotics Algorithms Models, Biological Animals Acoustics
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New enhanced artificial bee colony (JA-ABC5) algorithm with application for reactive power optimization.

TheScientificWorldJournal Mar 23, 2015
The standard artificial bee colony (ABC) algorithm involves exploration and exploitation processes which need to be balanced for enhanced performance. This paper proposes a new modified ABC algorithm named JA-ABC5 to enhance convergence speed and imp...
Algorithms Humans Animals Bees Artificial Intelligence Benchmarking
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Artificial Bee Colony Algorithm Based on Information Learning.

IEEE transactions on cybernetics Jan 13, 2015
Inspired by the fact that the division of labor and cooperation play extremely important roles in the human history development, this paper develops a novel artificial bee colony algorithm based on information learning (ILABC, for short). In ILABC, a...
Bees Appetitive Behavior Animals Cluster Analysis Machine Learning Models, Biological Algorithms
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Automated tracking and analysis of behavior in restrained insects.

Journal of neuroscience methods Nov 4, 2014
BACKGROUND: Insect behavior is often monitored by human observers and measured in the form of binary responses. This procedure is time costly and does not allow a fine graded measurement of behavioral performance in individual animals. To overcome th...
Animals Male Bayes Theorem Models, Biological Odorants Video Recording Artificial Intelligence Arthropod Antennae Software Conditioning, Classical Bees Algorithms Restraint, Physical Movement
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