[PDF] Top 20 A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

A Comprehensive Study of Artificial Bee Colony (ABC) Algorithms and its Applications

... meta-heuristic algorithms that mimic the natural foraging behavior of honey bees in order to solve optimization problems and find the optimal ...this study are compared to BA and others state-of-the-art ... See full document

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A Comprehensive Study in Wireless Sensor Network (WSN) using Artificial Bee Colony (ABC) Algorithms

... optimization algorithms. A hybrid algorithm involving both the two algorithms above is introduced in this ...of ABC algorithm with that of differential evolution (DE), particle swarm optimization ... See full document

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Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary

... meta-heuristic algorithms is ABC algorithm. Since its inception the algorithm is implemented successfully in several applications with strategic ...than its competitors, mostly suitable ... See full document

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Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier

... traditional ABC algorithms: poor convergence rate and local ...our study has provided substantial evidence for the advantages of D-ABC algorithm on quality of solution and convergence ... See full document

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COMPARATIVE ANALYSIS OF MODERN OPTIMIZATION TECHNIQUES TO REDUCE OVERALL GENERATION COST FOR THERMAL GENERATING SYSTEMS

... optimization algorithms. We have used Artificial Bee Colony Algorithm, Interactive Artificial Bee Colony Algorithm and Shuffled Frog Leaping Algorithm for resolving ELD ... See full document

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A new levenberg marquardt based back propagation algorithm trained with cuckoo search

... in artificial neural network and is also very popular optimization task in finding an optimal weight sets during the training ...propagation algorithms have some drawbacks such as getting stuck in local ... See full document

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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS

... of Artificial Bee Colony (ABC) algorithm to solve the tour planning ...posed Artificial Bee Colony (ABC) algorithm for vehicle routing optimization ...enhanced ... See full document

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Multi indicators Brain Storm Optimization Algorithm for Multi objective Optimization Problems

... of artificial intelligence technology, swarm intelligence (SI) has obtained a surge of ...intelligence algorithms have been proposed and developed for real-world ...these algorithms belong to a kind ... See full document

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A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)

... Since its first introduction in 2005, ABC continues to attract the interest of investigators from diverse disciplines across the ...basic ABC. Originally, ABC optimization was proposed for ... See full document

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Bat BP: a new bat based back propagation algorithm for efficient data classification

... this study investigates the use of Bat algorithm along with back-propagation neural network (BPNN) algorithm in-order to gain optimal weights to solve the local minima problem and also to enhance the convergence ... See full document

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Online Full Text

... real-world applications including the forecasting of commodity prices. In this study, a forecasting model based on a relatively new Swarm Intelligence (SI) behaviour, namely Grey Wolf Optimizer (GWO), is ... See full document

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Utilization of Soft Computing for Evaluating the Performance of Stone Sawing Machines, Iranian Quarries

... this study, Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms were used as soft computing techniques to classify dimension stones based on physical and ... See full document

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A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization

... metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is ...comparative study of two popular and robust bio mimic strategies used in computer ... See full document

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Efficient Parameter Extraction of Solar Cell using Modified ABC

... using Artificial Bee Colony (ABC) Algo- rithm is ...presented. ABC packs solid features such as simplicity of implementation, promising optimization capability, fewer control ... See full document

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Solution to Direct Torque Control of Induction Motor with Artificial Bee Colony Algorithm

... this Artificial Bee Colony Algorithm (ABC) is proposed to adjust the parameters (Kp, Ki) of the speed controller in order to minimize torque ripple, flux ripple, and stator current ... See full document

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A Review of SLA Constraints and Scheduling Methods and Behaviour

... Another critical aspect relative to the cloud environment is security. As the data is provided in the public environment, it is required to prevent it from unauthorized data access. The cloud system provides the user ... See full document

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Priority based Resource Allocation and Scheduling using Artificial Bee Colony (ABC) Optimization for Cloud Computing Systems

... There are some works available on ABC based task scheduling in cloud. Out of these papers, [22] and [24] are same. They consider the VM load in the fitness function for selecting the VMs. [23] considers makespan ... See full document

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Artificial Bee colony and its Application: An Overview

... Clustering means partition a given set of data into groups or class. Data clustering is used in various field like data mining, machine learning, pattern recognition etc. It is also applied in a large variety of ... See full document

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Population based meta-heuristic techniques for solving optimization problems: A selective survey

... The Artificial Bee Colony (ABC) algorithm was introduced by Karaboga in ...employed bee which was exploiting the exhausted food source becomes a scout bee in search of further ... See full document

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Functional link neural network – artificial bee colony for time series temperature prediction

... many applications such as system identification [9-14], channel equalization [3], classification [15-18], pattern recognition [19, 20] and prediction [21, ... See full document

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