artificial bee colony papers 2018


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An adaptive online sequential extreme learning machine for short-term wind speed prediction based on improved artificial bee colony algorithm
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As an improved algorithm of standard extreme learning machine, online sequential extreme learning machine achieves excellent classification and regression performance. However, online sequential extreme learning machine gives the same weight to the old and new

Medical image segmentation based on extreme learning machine algorithm in kernel fuzzy c-means using artificial bee colony method
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In image segmentation field, the Fuzzy C-Means (FCM) algorithm is a well-known algorithm for its simplicity and membership function that can control the overlapped clusters effectively with a predefined number of clusters. Despite the fact, the standard FCM algorithm is noise

Modelling of Horizontal Flexible Plate Structure Using Artificial Bee Colony Algorithm
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This paper presents the performance of system identification for modeling the horizontal flexible plate system using artificial bee colony and recursive least square algorithms. Initially, the experimental rig of flexible plate was designed and fabricated with all edges

System identification using hammerstein model optimized with artificial bee colony algorithm
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Hammerstein model is formed by cascade of linear and nonlinear parts. In literature, memoryless polynomial nonlinear (MPN) model for nonlinear part and finite impulse response (FIR) model or infinite impulse response (IIR) model for linear part are mostly

Multiobjective artificial bee colony based job scheduling for cloud computing environment
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Cloud computing has become the hottest issue due to its wide range of services. Due to a large number of users, it becomes more significant to provide high availability of services to cloud users. The majority of existing scheduling techniques in the cloud environment is NP

Development and simulation of adaptive traffic light controller using artificial bee colony algorithm
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This paper proposes an adaptive traffic control system that dynamically manages traffic phases and durations at cross-intersection. The developed model optimally schedules green light timing in accordance with traffic condition on each lane in order to minimize the

Artificial bee colony (abc) algorithm applied to slope-stability in searching the critical surface
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The popularity of nature-inspired meta-heuristics in solving complex multidimensional and combinatorial optimization problems is on the rise. The biologically inspired computation and their solution frameworks abstracted from the natural world are largely due to its

Lung cancer detection and classification on CT scan images using enhanced artificial bee colony optimization
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In recent years, prediction of cancer at earlier stages is obligatory to increase the chance of survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of the most common diseases among humans worldwide. In this research work, the raw input

Artificial bee colony with cellular automata
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Artificial bee colony (ABC) has shown competitive performance for handling complex optimization problems. However, it inevitably suffers from slow convergence and loses balance between exploitation and exploration. In this paper, a cellular structured

Comparative study of particle swarm optimization and artificial bee colony algorithms
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In this work greedy comparison between particle swarm optimization and artificial bee colony algorithms was made using different test functions. Each algorithm was explained in detail, and the mathematical model behind the algorithms has been presented. It is found

Enhanced Artificial Bee Colony Optimization For Solving Economic Load Dispatch
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The power system needs accurate solution for carrying Economic load dispatch (ELD) optimization problems. The constraints involved in ELD are complex and it requires a perfect algorithm to minimize the cost and reduce the transmission loss. There are certain methods

Fuzzy Clustering with Artificial Bee Colony Algorithm using Web Usage Mining
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Now a days the internet is very useful to human being. The main difficult is user to discover the precise information or any items from internet is exhausting and time consuming extremely tedious task. There are many existing methods in statistical analysis, pattern

Tuning of PID Controller Using Cultural Artificial Bee Colony Algorithm
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This research is aimed at developing a cultural-algorithm based artificial bee colony algorithm (CABCA) for improved Proportional Integral Derivative (PID) controller parameters tuning. The normative and situational knowledge inherent in cultural algorithm were utilized

Job Scheduling for Energy Efficiency Using Artificial Bee Colony through Virtualization
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Virtualization is used for saving energy, cost and is run for multiple applications using various operating systems on the same server at the same time. Thus, it increases the CPU utilization, efficiency and flexibility of the computer hardware. This paper presents the

Generalized net model of artificial bee colony optimization algorithm with intuitionistic fuzzy parameter adaptation
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A Generalized Net (GN) model of Intuitionistic Fuzzy Logic (IFL) control and parameter adaptation of the Artificial Bee Colony (ABC) algorithm is proposed in the present paper. The developed GN-model describes the internal logic of the ABC algorithm with an embedded

A modified artificial bee colony for the non-smooth dynamic economic/environmental dispatch
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(ABC) technique for solving the dynamic economic emission dispatch (DEED) problem. Ramp rate limits, valve-point loading effects and prohibited operating zones (POZs) have been considered. The proposed technique integrates the grenade explosion method and

Fractional Order PID Controller Design for Speed Control DC Motor based on Artificial Bee Colony Optimization
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ABSTRACT A proportional integral derivative (PID) controller is very popular in applications that require an easy and comprehensive control. In this project, the application of softcomputing algorithm design based on Artificial Bee Colony (ABC) optimization

Topological Shape Optimization Scheme for Nonlinear Structures Based on Artificial Bee Colony Algorithm
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Topological shape optimization is particularly efficient because it can perform topology and shape optimizations simultaneously. Topology optimization operates by finding an optimized layout in the specified design domain under the required conditions, such as boundary and

An Enhanced Artificial Bee Colony Based EELB-PWDGR for Optimized Route Selection in Wireless Multimedia Sensor Networks.
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Energy efficient and load-balanced routing based on QoS requirements in Wireless Multimedia Sensor Network have been achieved using Energy Enhanced Load Balancing Pairwise Directional Geographical Routing (EELB-PWDGR). However, the process of path

Comparison of Constraint-handling Techniques Used in Artificial Bee Colony Algorithm for Auto-Tuning of State Feedback Speed Controller for PMSM.
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This article focuses on comparison of two constraint-handling techniques: Debs Rules (DR) and Augmented Lagrangian (AL) applied to Artificial Bee Colony (ABC) algorithm that is used for auto-tuning of state feedback speed controller (SFC) for permanent magnet CSE PROJECTS

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