نتایج جستجو برای: bee colony optimization
تعداد نتایج: 379351 فیلتر نتایج به سال:
Damage to Retinal Nerve Fiber Layer can Cause Glaucoma. Glaucoma is an inflammation of the optic eye which characterized by progressive deterioration Optic Head and field view. Problems that require a classification solution are hindered large data dimensions. Artificial Bee Colony one evolution algorithms widely used for feature selection optimization. Gray level Coocurrence matrix as extracti...
An information retrieval system highly relies on document analysis/ retrieval system. It includes numerous processing stages such as feature extraction, semantic representation, dimensionality reduction and similarity measure. Semantic representation aids for providing a better description to the documents. However, the probability of getting increased dimension for semantic descriptors is high...
In this study, a new method for designing the damping controller was proposed to improve the transient power system stability in a single machine network connected to an infinite bus. The STATCOM controller problem in a wide area of the system function was considered as an optimization problem with multi-purpose objective function. Also, the Honey Bee Mating Optimization Algorithm was used to d...
A new population-based search algorithm called the Bees Algorithm (BA) is presented in this paper. The algorithm mimics the food foraging behavior of swarms of honey bees. This algorithm performs a kind of neighborhood search combined with random search and can be used for both combinatorial optimization and functional optimization and with good numerical optimization results. ABC is a meta-heu...
Swarm intelligence systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. Particle swarm, Ant colony, Bee colony are examples of swarm intelligence. In the field of computer science and operations research, Artificial Bee Colony Algorithm (ABC) is an optimization algorithm based on the intelligent foraging behavio...
Artificial Neural Network (ANN) has found widespread application in the field of classification. Many domains have benefited with the use of ANN based models over traditional statistical models for their classification and prediction needs. Many techniques have been proposed to arrive at optimal values for parameters of the ANN model to improve its prediction accuracy. This paper compares the i...
Job Scheduling plays an important role for efficient utilization of grid resources available across different domains and geographical zones. Scheduling of jobs is challenging and NPcomplete. Evolutionary / Swarm Intelligence algorithms have been extensively used to address the NP problem in grid scheduling. Artificial Bee Colony (ABC) has been proposed for optimization problems based on foragi...
The stock market is very volatile, so the change of price also widely concerned by investors. In this paper, a new forecasting model based on Quantum Particle Swarm Optimization(QPSO) , Bee Colony Optimization Algorithm(QABC) and Fruit Fly Algorithm (QFOA) proposed. three methods all use BP neural network to adjust parameters particle swarm, bee colony Drosophila reach optimal parameters. Takin...
Word sense disambiguation (WSD) is a problem in the field of computational linguistics given as finding the intended sense of a word (or a set of words) when it is activated within a certain context. WSD was recently addressed as a combinatorial optimization problem in which the goal is to find a sequence of senses that maximize the semantic relatedness among the target words. In this article, ...
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