Artificial Bee Colony
Artificial Bee Colony algorithm using Structured Swarm
... Artificial Bee Colony (ABC) algorithm is established by Karaboga in 2005 [9]. Since its inception, a lot of research has been carried out to make ABC more and more e ffi cient and to apply ABC for di ff ...
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A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization
... ABSTRACT: For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the ...
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Artificial Bee Colony Algorithm for Optimizaion in Data Science
... with artificial bee colony optimization. Artificial bee colony optimization is used in networking and data ...field, artificial bee colony optimization is ...
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Artificial bee colony algorithm with time varying strategy
... Swarm intelligence concerns the design of intelligent opti- mization algorithms by taking inspirations from the collec- tive behavior of social insects [1]. During the past decades, swarm intelligence has shown great ...
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Data feature selection based on Artificial Bee Colony algorithm
... This paper proposes a feature selection method for data analysis based on Artificial Bee Colony (ABC) approach that can be used in several knowledge domains through wrapper and forward strategies. ...
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Optimal virtual network embedding based on artificial bee colony
... employed bee finds a food resource, it will go back to the beehive with the information of that food resource and lead other onlooker bees to that ...the artificial bee colony (ABC) ...
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Artificial Bee colony and its Application: An Overview
... In this paper, an overview of artificial bee colony algorithm and its application in various fields are presented. In addition to we have covered foraging behaviour of honey bees, how bees choose ...
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Parameters Tuning of Hybrid Artificial Bee Colony Search based Strategy for t way Testing
... (N). Artificial Bee Colony algorithm demands to tune the number of colony size (NBees), the number of food source, limit and the number of cycles ...
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Torque Control of Three Phase Induction Motor Using Artificial Bee Colony Algorithm
... ABSTRACT: This paper implements the torque control of three phase induction motor at constant speed for variable load operation. It is obtained using Artificial Bee Colony (ABC) optimization ...
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Stability Analysis of Artificial Bee Colony Optimization Algorithm
... dimension, colony size, region scaling and effect of limit or abondment counter (AC) on the ABC algorithm has already been discussed in ...the Artificial Bee Colony (ABC) optimization ...
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A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... on artificial neural networks which are widely used in signal processing applications and the performance of the algorithm has been compared to differential evolution and particle swarm optimization algorithms ...
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A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
... the artificial bee colony (ABC) as an optimization algorithm to deal with classification and prediction ...different artificial intelligent techniques to obtain optimum performance ...
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Optimal PSS Tuning by using Artificial Bee Colony
... ABSTRACT: This paper addresses a new optimization technique namely artificial bee colony (ABC) algorithm for power system stabilizer (PSS) design. In the proposed methodology, PSS is considered with ...
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On the Importance of the Artificial Bee Colony Control Parameter ‘Limit’
... Artificial Bee Colony (ABC) is a successful meta-heuristic algorithm that has been greatly utilised by research- ers. Through our practical experience of ABC, we have noticed that the recommended ...
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An Improved Memetic Search in Artificial Bee Colony Algorithm
... Abstract— Artificial Bee Colony (ABC) is a swarm optimization ...employed bee phase and onlooker bee phase are improved with help of a local search strategy stimulated by memetic ...
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
... There are different techniques uses for finding optimal weight values such as BP, and modified version of BP (Nazri et al., 2010), Gradient Descent (Baldi, 1995; Yu & Chen, 1997), Differential Evaluation (DE) (Slowik ...
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Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... ’ artificial bee colony (D-ABC) algorithm for solving optimizing ...of artificial bee colony (ABC) algorithm, when applied to multi-parameters ...
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A study of artificial bee colony variants for radar waveform design
... To solve the design of radar waveforms such as polyphase codes design, this paper proposes to combine the migra- tion operator of biogeography-based optimization (BBO) approach with the employed bee phase of ...
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ARTIFICIAL BEE COLONY ALGORITHM FOR LOCALIZATION IN WIRELESS SENSOR NETWORKS
... is Artificial Bee Colony (ABC) algorithm which is incorporated with MAP-M&N to further improve the accuracy in positioning the sensor ...that Artificial Bee Colony approach ...
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Analysing convergence, consistency and trajectory of Artificial Bee Colony Algorithm
... Recently, swarm intelligence based algorithms gained attention of the researchers due to their wide applicability and ease of implementation. However, much research has been made on the development of swarm intelligence ...
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